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Understanding Assignments

What this handout is about.

The first step in any successful college writing venture is reading the assignment. While this sounds like a simple task, it can be a tough one. This handout will help you unravel your assignment and begin to craft an effective response. Much of the following advice will involve translating typical assignment terms and practices into meaningful clues to the type of writing your instructor expects. See our short video for more tips.

Basic beginnings

Regardless of the assignment, department, or instructor, adopting these two habits will serve you well :

• Read the assignment carefully as soon as you receive it. Do not put this task off—reading the assignment at the beginning will save you time, stress, and problems later. An assignment can look pretty straightforward at first, particularly if the instructor has provided lots of information. That does not mean it will not take time and effort to complete; you may even have to learn a new skill to complete the assignment.
• Ask the instructor about anything you do not understand. Do not hesitate to approach your instructor. Instructors would prefer to set you straight before you hand the paper in. That’s also when you will find their feedback most useful.

Assignment formats

Many assignments follow a basic format. Assignments often begin with an overview of the topic, include a central verb or verbs that describe the task, and offer some additional suggestions, questions, or prompts to get you started.

An Overview of Some Kind

The instructor might set the stage with some general discussion of the subject of the assignment, introduce the topic, or remind you of something pertinent that you have discussed in class. For example:

“Throughout history, gerbils have played a key role in politics,” or “In the last few weeks of class, we have focused on the evening wear of the housefly …”

The Task of the Assignment

Pay attention; this part tells you what to do when you write the paper. Look for the key verb or verbs in the sentence. Words like analyze, summarize, or compare direct you to think about your topic in a certain way. Also pay attention to words such as how, what, when, where, and why; these words guide your attention toward specific information. (See the section in this handout titled “Key Terms” for more information.)

“Analyze the effect that gerbils had on the Russian Revolution”, or “Suggest an interpretation of housefly undergarments that differs from Darwin’s.”

Additional Material to Think about

Here you will find some questions to use as springboards as you begin to think about the topic. Instructors usually include these questions as suggestions rather than requirements. Do not feel compelled to answer every question unless the instructor asks you to do so. Pay attention to the order of the questions. Sometimes they suggest the thinking process your instructor imagines you will need to follow to begin thinking about the topic.

“You may wish to consider the differing views held by Communist gerbils vs. Monarchist gerbils, or Can there be such a thing as ‘the housefly garment industry’ or is it just a home-based craft?”

These are the instructor’s comments about writing expectations:

“Be concise”, “Write effectively”, or “Argue furiously.”

Technical Details

These instructions usually indicate format rules or guidelines.

“Your paper must be typed in Palatino font on gray paper and must not exceed 600 pages. It is due on the anniversary of Mao Tse-tung’s death.”

The assignment’s parts may not appear in exactly this order, and each part may be very long or really short. Nonetheless, being aware of this standard pattern can help you understand what your instructor wants you to do.

Interpreting the assignment

Ask yourself a few basic questions as you read and jot down the answers on the assignment sheet:

Why did your instructor ask you to do this particular task?

Who is your audience.

• What kind of evidence do you need to support your ideas?

What kind of writing style is acceptable?

• What are the absolute rules of the paper?

Try to look at the question from the point of view of the instructor. Recognize that your instructor has a reason for giving you this assignment and for giving it to you at a particular point in the semester. In every assignment, the instructor has a challenge for you. This challenge could be anything from demonstrating an ability to think clearly to demonstrating an ability to use the library. See the assignment not as a vague suggestion of what to do but as an opportunity to show that you can handle the course material as directed. Paper assignments give you more than a topic to discuss—they ask you to do something with the topic. Keep reminding yourself of that. Be careful to avoid the other extreme as well: do not read more into the assignment than what is there.

Of course, your instructor has given you an assignment so that they will be able to assess your understanding of the course material and give you an appropriate grade. But there is more to it than that. Your instructor has tried to design a learning experience of some kind. Your instructor wants you to think about something in a particular way for a particular reason. If you read the course description at the beginning of your syllabus, review the assigned readings, and consider the assignment itself, you may begin to see the plan, purpose, or approach to the subject matter that your instructor has created for you. If you still aren’t sure of the assignment’s goals, try asking the instructor. For help with this, see our handout on getting feedback .

Given your instructor’s efforts, it helps to answer the question: What is my purpose in completing this assignment? Is it to gather research from a variety of outside sources and present a coherent picture? Is it to take material I have been learning in class and apply it to a new situation? Is it to prove a point one way or another? Key words from the assignment can help you figure this out. Look for key terms in the form of active verbs that tell you what to do.

Key Terms: Finding Those Active Verbs

Here are some common key words and definitions to help you think about assignment terms:

Information words Ask you to demonstrate what you know about the subject, such as who, what, when, where, how, and why.

• define —give the subject’s meaning (according to someone or something). Sometimes you have to give more than one view on the subject’s meaning
• describe —provide details about the subject by answering question words (such as who, what, when, where, how, and why); you might also give details related to the five senses (what you see, hear, feel, taste, and smell)
• explain —give reasons why or examples of how something happened
• illustrate —give descriptive examples of the subject and show how each is connected with the subject
• summarize —briefly list the important ideas you learned about the subject
• trace —outline how something has changed or developed from an earlier time to its current form
• research —gather material from outside sources about the subject, often with the implication or requirement that you will analyze what you have found

Relation words Ask you to demonstrate how things are connected.

• compare —show how two or more things are similar (and, sometimes, different)
• contrast —show how two or more things are dissimilar
• apply —use details that you’ve been given to demonstrate how an idea, theory, or concept works in a particular situation
• cause —show how one event or series of events made something else happen
• relate —show or describe the connections between things

Interpretation words Ask you to defend ideas of your own about the subject. Do not see these words as requesting opinion alone (unless the assignment specifically says so), but as requiring opinion that is supported by concrete evidence. Remember examples, principles, definitions, or concepts from class or research and use them in your interpretation.

• assess —summarize your opinion of the subject and measure it against something
• prove, justify —give reasons or examples to demonstrate how or why something is the truth
• evaluate, respond —state your opinion of the subject as good, bad, or some combination of the two, with examples and reasons
• support —give reasons or evidence for something you believe (be sure to state clearly what it is that you believe)
• synthesize —put two or more things together that have not been put together in class or in your readings before; do not just summarize one and then the other and say that they are similar or different—you must provide a reason for putting them together that runs all the way through the paper
• analyze —determine how individual parts create or relate to the whole, figure out how something works, what it might mean, or why it is important
• argue —take a side and defend it with evidence against the other side

More Clues to Your Purpose As you read the assignment, think about what the teacher does in class:

• What kinds of textbooks or coursepack did your instructor choose for the course—ones that provide background information, explain theories or perspectives, or argue a point of view?
• In lecture, does your instructor ask your opinion, try to prove their point of view, or use keywords that show up again in the assignment?
• What kinds of assignments are typical in this discipline? Social science classes often expect more research. Humanities classes thrive on interpretation and analysis.
• How do the assignments, readings, and lectures work together in the course? Instructors spend time designing courses, sometimes even arguing with their peers about the most effective course materials. Figuring out the overall design to the course will help you understand what each assignment is meant to achieve.

Now, what about your reader? Most undergraduates think of their audience as the instructor. True, your instructor is a good person to keep in mind as you write. But for the purposes of a good paper, think of your audience as someone like your roommate: smart enough to understand a clear, logical argument, but not someone who already knows exactly what is going on in your particular paper. Remember, even if the instructor knows everything there is to know about your paper topic, they still have to read your paper and assess your understanding. In other words, teach the material to your reader.

Aiming a paper at your audience happens in two ways: you make decisions about the tone and the level of information you want to convey.

• Tone means the “voice” of your paper. Should you be chatty, formal, or objective? Usually you will find some happy medium—you do not want to alienate your reader by sounding condescending or superior, but you do not want to, um, like, totally wig on the man, you know? Eschew ostentatious erudition: some students think the way to sound academic is to use big words. Be careful—you can sound ridiculous, especially if you use the wrong big words.
• The level of information you use depends on who you think your audience is. If you imagine your audience as your instructor and they already know everything you have to say, you may find yourself leaving out key information that can cause your argument to be unconvincing and illogical. But you do not have to explain every single word or issue. If you are telling your roommate what happened on your favorite science fiction TV show last night, you do not say, “First a dark-haired white man of average height, wearing a suit and carrying a flashlight, walked into the room. Then a purple alien with fifteen arms and at least three eyes turned around. Then the man smiled slightly. In the background, you could hear a clock ticking. The room was fairly dark and had at least two windows that I saw.” You also do not say, “This guy found some aliens. The end.” Find some balance of useful details that support your main point.

You’ll find a much more detailed discussion of these concepts in our handout on audience .

The Grim Truth

With a few exceptions (including some lab and ethnography reports), you are probably being asked to make an argument. You must convince your audience. It is easy to forget this aim when you are researching and writing; as you become involved in your subject matter, you may become enmeshed in the details and focus on learning or simply telling the information you have found. You need to do more than just repeat what you have read. Your writing should have a point, and you should be able to say it in a sentence. Sometimes instructors call this sentence a “thesis” or a “claim.”

So, if your instructor tells you to write about some aspect of oral hygiene, you do not want to just list: “First, you brush your teeth with a soft brush and some peanut butter. Then, you floss with unwaxed, bologna-flavored string. Finally, gargle with bourbon.” Instead, you could say, “Of all the oral cleaning methods, sandblasting removes the most plaque. Therefore it should be recommended by the American Dental Association.” Or, “From an aesthetic perspective, moldy teeth can be quite charming. However, their joys are short-lived.”

Convincing the reader of your argument is the goal of academic writing. It doesn’t have to say “argument” anywhere in the assignment for you to need one. Look at the assignment and think about what kind of argument you could make about it instead of just seeing it as a checklist of information you have to present. For help with understanding the role of argument in academic writing, see our handout on argument .

What kind of evidence do you need?

There are many kinds of evidence, and what type of evidence will work for your assignment can depend on several factors–the discipline, the parameters of the assignment, and your instructor’s preference. Should you use statistics? Historical examples? Do you need to conduct your own experiment? Can you rely on personal experience? See our handout on evidence for suggestions on how to use evidence appropriately.

Make sure you are clear about this part of the assignment, because your use of evidence will be crucial in writing a successful paper. You are not just learning how to argue; you are learning how to argue with specific types of materials and ideas. Ask your instructor what counts as acceptable evidence. You can also ask a librarian for help. No matter what kind of evidence you use, be sure to cite it correctly—see the UNC Libraries citation tutorial .

You cannot always tell from the assignment just what sort of writing style your instructor expects. The instructor may be really laid back in class but still expect you to sound formal in writing. Or the instructor may be fairly formal in class and ask you to write a reflection paper where you need to use “I” and speak from your own experience.

Try to avoid false associations of a particular field with a style (“art historians like wacky creativity,” or “political scientists are boring and just give facts”) and look instead to the types of readings you have been given in class. No one expects you to write like Plato—just use the readings as a guide for what is standard or preferable to your instructor. When in doubt, ask your instructor about the level of formality they expect.

No matter what field you are writing for or what facts you are including, if you do not write so that your reader can understand your main idea, you have wasted your time. So make clarity your main goal. For specific help with style, see our handout on style .

Technical details about the assignment

The technical information you are given in an assignment always seems like the easy part. This section can actually give you lots of little hints about approaching the task. Find out if elements such as page length and citation format (see the UNC Libraries citation tutorial ) are negotiable. Some professors do not have strong preferences as long as you are consistent and fully answer the assignment. Some professors are very specific and will deduct big points for deviations.

Usually, the page length tells you something important: The instructor thinks the size of the paper is appropriate to the assignment’s parameters. In plain English, your instructor is telling you how many pages it should take for you to answer the question as fully as you are expected to. So if an assignment is two pages long, you cannot pad your paper with examples or reword your main idea several times. Hit your one point early, defend it with the clearest example, and finish quickly. If an assignment is ten pages long, you can be more complex in your main points and examples—and if you can only produce five pages for that assignment, you need to see someone for help—as soon as possible.

Tricks that don’t work

Your instructors are not fooled when you:

• spend more time on the cover page than the essay —graphics, cool binders, and cute titles are no replacement for a well-written paper.
• use huge fonts, wide margins, or extra spacing to pad the page length —these tricks are immediately obvious to the eye. Most instructors use the same word processor you do. They know what’s possible. Such tactics are especially damning when the instructor has a stack of 60 papers to grade and yours is the only one that low-flying airplane pilots could read.
• use a paper from another class that covered “sort of similar” material . Again, the instructor has a particular task for you to fulfill in the assignment that usually relates to course material and lectures. Your other paper may not cover this material, and turning in the same paper for more than one course may constitute an Honor Code violation . Ask the instructor—it can’t hurt.
• get all wacky and “creative” before you answer the question . Showing that you are able to think beyond the boundaries of a simple assignment can be good, but you must do what the assignment calls for first. Again, check with your instructor. A humorous tone can be refreshing for someone grading a stack of papers, but it will not get you a good grade if you have not fulfilled the task.

Critical reading of assignments leads to skills in other types of reading and writing. If you get good at figuring out what the real goals of assignments are, you are going to be better at understanding the goals of all of your classes and fields of study.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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Free Assignment Tracking Template for Google Sheets

• Last updated December 14, 2023

Are you looking for an assignment tracking template? When your tasks begin to pile up into several imaginary towers, it’s easy for you to be overwhelmed, not knowing where to start. Moreover, you might not even be able to keep track of all of them, resulting in missed assignments and potentially bad marks.

Having an assignment tracker to keep every task means you’ll be able to organize, stay on top, and complete all your assignments on time. All you need to do is open our Assignment Tracking Template , hit the  “Make a copy”  button and start sorting out your to-do list.

Access Template

While it’s easy to navigate, make sure you read ahead to discover how to use our assignment tracking template to the fullest. We also have another assignment tracking template  that lets you map out your assignments throughout the semester—a perfect fit for your syllabus.

Table of Contents

What Should a Good Homework Spreadsheet Have?

In general, you’ll want a few fields that will help describe your assigned tasks and some markers for better organization. Here are some essential components to look for:

• Assignment description: An efficient assignment tracking template will have space so you can jot down assignment notes. This avoids confusion and lets you anticipate the difficulty of your to-dos.
• Dates:  Having dedicated fields for your due dates lets you plan your schedule better. This way, you know how much time you have to complete a task. Additionally, when paired with your assignment notes, you can sort them according to priority levels.
• Completion status: Keeping track of task statuses lets you know which tasks have started, are in progress, are accomplished, or need revision. Moreover, it’s also a great way to remember which tasks you need to return to.
• Subject and type:  You also want to categorize your assignments into their respective subjects. Another way to group them is by assignment type, including papers, lab reports, collaborative work, and similar tasks.

The components above are only a few useful fields in an assignment tracking template. For example, some spreadsheets also include monthly views or trackers for semester-wide assignment lists . Templates such as these will undoubtedly have other categories you’d need to explore.

Basic Assignment Tracking Template

With all the considerations laid out above, we created a simple but effective assignment tracking template you can use for free. While it may only feature a single functional tab, it has nine named columns you can organize according to your tasks.

If you haven’t already, you can download our free assignment tracking template here:

Let’s discuss the template in more detail .

Column A—Days Remaining

This is self-explanatory, but you can refer to this column to see the number of days you have left to do or submit your assignment. Depending on the days remaining, you can also decide which tasks to prioritize according to their deadlines.

The cells under this column are automatically updated using our pre-loaded formulas , so avoid modifying them. Instead, you can change the values under the last two columns of this template.

Columns B to D—Tags for Status, Subject, and Task Type

Under these columns, you can set the categories of your assignments either by their completion status, class, or assignment type. You can select the values from the drop-down lists that come with the template based on the American curriculum.

Additionally, these statuses are associated with specific colors, making them more visual so that you can view and handle multiple ongoing tasks more efficiently. If the subjects listed differ from what you’re currently taking, you can modify the options.

To modify the subject options, follow the steps below:

• First, click on a cell’s drop-down list and locate the pen icon at the bottom.

• Click the pen icon to open the drop-down settings on the left-hand side of your screen.
• Change the values listed on the options, such as editing Math  to Physics.
• Once you’ve set your preferred selection, click the “ Done” button.

• Upon clicking, a pop-out might appear on your screen asking whether to apply the changes to a wider cell range.
• Simply click “Apply   to all”  to replicate the changes to the other cells.

Another handy feature is the filter option in the “Status”  column. You can use this to view your tasks based on their completion level. For example, you can choose to see only the in-progress tasks. Here’s how you do it.

• To get started, click on the filter icon next to the “Status”  label.

• You should see a list of values with checkmarks on their left side once you scroll down.
• To deselect all of them, click on “ Clear.”

• Next, begin selecting the tasks you want to see per status, such as To start  and In-progress.
• Finally, click “OK.”

• To revert the view, simply follow steps one to five, ensuring to select all the categories again.

Columns E to I—Assignment Details

You can start entering the information you know about the tasks at hand. The columns E to G are divided into three categories: Assignment Title, Description, and Files/Links. If your assignment has attachments and URLs, such as resources, you can keep them in the last column mentioned.

Meanwhile, columns H to I serve as fields where you can input the dates when your task is given and when you need to submit it. Take note that these are installed with data validation rules—you can’t enter values that aren’t valid dates. These values are also used to calculate the Days Remaining column.

Semester Assignment Spreadsheet

If you are looking to plan your entire semester ahead of time with your potential tasks, this is a helpful assignment tracking template. It’s much simpler than the previous spreadsheet discussed and gives you a semester-wide overview of your assignments.

Get the template here:   Semester Assignment Spreadsheet

This assignment tracking template has only three fields that you can update. The first field is the (1) Date , which is located under the seven days of the week (with a total of fifteen weeks in the spreadsheet as per the American semester.)

The second is the (2) Tags  field, which allows you to categorize your tasks according to the subject. As with the other template, these tags are color-coded for an easier view. Lastly, you can also populate the (3) Assignment Details , the blank spaces beside the tags.

Why Use Our Assignment Schedule Templates?

You can virtually make a never-ending list of benefits from using a homework spreadsheet, but to name a few, here are some reasons why they’re beneficial for managing your workload.

• Organization: As repeatedly emphasized, these assignment tracking templates help you categorize your tasks according to subject, type, and completion status, making it easier to organize your workload.
• Time Management:  You can keep track of your due dates better with the automated counting of the days remaining for a task. You can manage your time better and learn to prioritize tasks according to deadlines.
• Easy Access:  Our spreadsheets run on Google Sheets , which you can easily access anywhere, as long as you are connected to the internet. On top of that, they’re also ready to be filled out as soon as you make a copy for yourself.

Wrapping Up

Sticking to your deadlines and organizing your tasks doesn’t need to be complicated. You can easily do this with the help of our assignment tracking template on Google Sheets. Access more of these excellent templates by visiting our other blogs too!

If you want to learn about Google Sheets to the next level, consider checking out relevant courses at Udemy .

• 5 Useful Google Sheets Project Management Templates [Free]
• The Free Google Sheets Task List Template [Easy Guide]
• How to Assign a Task in Google Sheets [Easy Guide]
• Free Balance Sheet Template for Google Sheets
• The 9 Best Google Sheets Templates to Streamline Your Life
• Volleyball Statistics Spreadsheet: Free Template

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Gemini now has added data protection. chat now ., easily distribute, analyze, and grade student work with assignments for your lms.

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how to effectively assign tasks to team members to increase productivity?

Picture this: It's Monday morning, and your team is buzzing with excitement, ready to take on the week. But wait! Who's doing what? Does everyone know their roles and responsibilities? Ah, the perennial challenge of assigning tasks . If this rings a bell, worry not. We've all been there. Have you ever felt the sting of mismatched roles? Like trying to fit a square peg into a round hole? Assigned tasks play a pivotal role in the smooth functioning of any team. And guess what? There are methods and tools that make this process easier. Let’s dive in.

As a leader in the workplace, it is essential to ensure that everyone in the team gets the appropriate amount of work. Sometimes, it's tempting to give an employee more tasks than others, especially if he/she finishes the tasks faster. But keep in mind that as managers, you must be fair. You must learn how to effectively assign tasks to your team members . 

Although it may seem like a simple management function, assigning tasks to your team is actually challenging. As said by Liane Davey, cofounder of 3COze Inc. and author of  You First: Inspire Your Team to Grow Up, Get Along, and Get Stuff Done , You are “juggling multiple interests” in the pursuit of optimal team performance.

Task distribution among various departments might vary from person to person. For efficient delegation, it is vital to consider guidelines while distributing duties to team members.

Tasks that are delegated effectively move your people, projects, and the entire business forward. It increases management and staff trust and accountability, helps in refining and teaching new abilities, enables personnel to become acquainted with various groups and areas of employment, and is an excellent foundation for performance reviews, etc.

How do you assign tasks to your employees? 

Assigning tasks is typically perceived as a time-consuming activity that focuses on removing items from task lists in order to keep the project moving forward. Task assignment, nevertheless, ought to be a more employee-focused procedure that calls for extra commitment and work, which produces excellent outcomes. 

Here are some tips to effectively assign tasks to your employees:

1. Delegate Positively

Don't just throw work at someone and expect them to deliver when they might not be qualified for that particular assignment. Maintain a mindset of doubting every assignment you gave and go over your personnel roster to see whether anyone else is capable of completing it as effectively as you can. They will be more likely to believe that they can do the assignment in the manner that the leader desires if they have a positive outlook. Employees won't feel inspired to start their assignment if you adversely assign them or have doubts about their competence. A little encouragement will make their day happier and encourage them to confidently do the tasks given to them.

2. Set Clear Goals and Objectives

To understand how your team performs, you should set clear goals and objectives before entrusting them with any responsibilities. When goals and objectives are not defined, it'll be harder for your team to see the big picture and perform tasks in a particular manner. 

3. Assign the Right Task to the Right Employee

This is the key to productivity. Who has the most expertise and experience should be given priority, but don't give that individual too much work. You should also think about who needs to develop their sense of responsibility. Also, take into account the passage of time and their eagerness to seize the opportunity. To do this, the manager should create a delegation plan that considers the various skill sets of each employee and assign tasks that are properly suited to each individual. On the other hand, when a task requires an extraordinary employee and there is a talent shortage, the leaders themselves should do the assignment in an emergency or without a workforce.

4. Obtain Inputs from Your Team and Set Up Meetings if Possible

Get suggestions from your team on what should be modified, who you could include, and how outcomes should be defined. Engage with the specific managers of the sub-teams if you are in charge of a large team or organization. A meeting with the entire team is necessary before assigning tasks to team members. You may obtain a clear picture of who is responsible for what and how purposefully they can do the assignment. Getting suggestions from your team members ensures that each of them will contribute to the task's accomplishment.

5. Conduct Training and Supervision

A project's completion necessitates the blending of various delegation techniques, a high degree of team member commitment, and effective planning and execution. It is essential to teach the team members and meet with the team every day in order to produce a skilled workforce. The training includes free access to resources for developing skills, such as courses from Upskillist ,  Udemy , or  Coursera . Following the training phase, the work must be supervised by a professional to ensure that the team learned from the training provided. Before and throughout the task assignment and execution among several team members, training and supervision are equally crucial.

6. Communicate Constantly

It doesn't mean that when you're done delegating the tasks, everything's good. No, it doesn't work that way. Constant communication is also the key to unlocking productivity. You need to collaborate with your team . Professionals at work must keep a close watch on their team members to learn about any challenges or issues they may be having.  For the task to be completed and the status of each team member to be tracked, communication is essential. Following up on tasks you assign to your employees helps them manage pressure and boost job productivity since problems like stress and pressure may tangle them and slow them down. Employee burnout is a result of micromanagement, which is not a good concept. It is best to let staff go free by following up casually.

7. Know who to Handover Authorization and Control

Decentralized power relieves employers of job management. Make sure to provide your staff some authority when you delegate tasks to them using management apps such as Trello , Asana , Edworking , Slack , and the like. Employees become empowered and responsible for completing tasks as a result of the control transfer. Giving them too little authority can cause issues because they lose interest in their work while giving them too much control might overwhelm them and cause them to forget basic responsibilities. The key to the team's success is giving each member the authority they rightfully deserve while also soliciting input.

8. After the project, assess the results

Ask yourself how you as the manager could support the success of your team members more effectively. Give constructive criticism and accept it in return.

The most vital phase in job completion is assigning tasks to team members. Due to the frequent mistakes made while delegating duties, it is imperative to use management tools when giving your team responsibilities. Project management solutions provide better work allocations by incorporating features like marketing automation. Employee development and time tracking are made easier by the task assignment guidelines, which also help keep workers interested. 

Allocating Vs. Delegating Tasks 

Now that you've learned about some tips to properly assign tasks, you may also have questions like, "what's the difference between allocating and delegating tasks?" 

As stated by Abhinav in a published article on LinkedIn, "The imbalance of responsibility and accountability is the main difference between Delegation and Allocation." What does it mean? Delegation gives a real opportunity for your team to upskill, grow, and develop. Allocating tasks is merely assigning tasks without the goal of helping your team grow.

Although assigning tasks has its merits, delegating tasks offers significant advantages in terms of employee growth and engagement. Because delegation when done well delivers diversity and other intrinsic motivational incentives that make work so much more meaningful, it will be even more rewarding for the manager and team members.

Task Tips and Best Practices 

In order to accomplish our objectives and SMART goals, we define a particular number of tasks that we must do each day. We frequently take on more than we can handle in the fight to remain at the top of our game and maintain our competitive edge.

Even while everything appears to be of the utmost importance, something is off in your struggle to finish everything while maintaining your composure. Some of us have a lengthy list of things we want to get done before a given age or period. Others devote so much effort to honing a particular skill that by the time it shines, it is no longer relevant.

Time management and balancing workload are not just skills of project managers or superiors. In reality, these abilities should be embraced at every level, particularly when working in a team. Research by Cornerstone found that when workers believe they don't have enough time in the day to do their jobs, work overload reduces productivity by 68%. What tips and best practices should you do so you don't only allocate tasks but delegate them effectively?

1. Prioritize. Make a to-do list according to the order of priority

Even if to-do lists are classic, they are still more efficient and effective than ever. People used to keep handwritten notes for ideas and tasks back in the day.  There are smart to-do lists apps and software that provide notifications and reminders prior to the task's due date. 

2. Maximize productivity and minimize procrastination

To start, delegate the tasks to the right people. Don't do it tomorrow or the next day. Do it today. Having a lot to accomplish may be stressful, which is sometimes worse than the actual task. If you struggle with procrastination, it's possible that you haven't come up with a good task management strategy. You might express your lack of starting knowledge by procrastinating. It could not be laziness, but rather a matter of setting priorities.

3. Be motivated

Procrastination and a lack of motivation are closely correlated. When you lack motivation, you tend to get distracted. If you want to meet milestones and deadlines, be motivated.

4. Delegate and be involved

The reality of being overburdened can have a negative impact on productivity if it is not properly managed. At the end of the day, we're still just humans. When it comes to having patience, resilience, working under pressure, or finishing a task quickly, each one of us possesses a certain set of skills. So, delegate the right tasks to the right person in your team, and don't just stop there. Be involved. Leaving the stadium just because you're done delegating is a big no. Keep in touch with them and follow up on the progress of the tasks assigned.

Task Vs. Subtask 

Tasks and subtasks are quite similar. The only difference is that a subtask should be completed as an element of completing a larger and more complex task.

For example, the task is to increase your company's social media presence. So, what should you do to accomplish those tasks? That's when you have subtasks such as creating optimized posts and content on various social media platforms, scheduling them, interacting with your audience in the comment section, etc. 

The additional stages that make up a task are called subtasks. They are essential while working on large projects with a wide range of tasks. In some task management tools, You may create as many subtasks as you need in the task view, but you must first choose the parent task before you can create a subtask.

Why You Should Assign Tasks Effectively to Team Members

Enhance team productivity.

Efficient task assignment can work wonders for your team's productivity. When each team member knows their role and is well-suited for their tasks, they can focus on delivering high-quality results. Imagine a well-oiled machine, with each cog spinning smoothly and in harmony - that's your team at peak productivity!

Consider these points:

• Match tasks to individual skills : Ensure tasks align with your team members' unique abilities and expertise.
• Set clear expectations : Be transparent about deadlines, deliverables, and objectives.
• Foster collaboration : Encourage communication and collaboration among team members.

Nurture a Sense of Ownership

Assigning tasks effectively helps to in still a sense of ownership and responsibility within your team. When individuals understand their role in a project, they are more likely to take pride in their work and strive for excellence. It's like planting a seed - with proper care and attention, it'll grow into a strong, thriving tree.

Key elements to foster ownership:

• Encourage autonomy : Allow team members to make decisions and take charge of their tasks.
• Provide feedback : Offer constructive feedback and celebrate successes.
• Support development : Invest in your team members' growth through training and development opportunities.

Reduce Work Overload and Burnout

Nobody wants to be buried under an avalanche of tasks. By allocating work effectively, you can prevent team members from feeling overwhelmed and burned out. Just as we can't run on empty, neither can our team members - so, let's ensure they have a manageable workload.

Strategies to avoid overload:

• Balance workloads : Distribute tasks evenly and consider individual capacities.
• Encourage breaks : Promote a healthy work-life balance and remind your team to take breaks.
• Monitor progress : Regularly check in with your team members to assess their workloads and stress levels.

Boost Employee Engagement

An engaged employee is a happy and productive one. When you assign tasks effectively, you're laying the groundwork for increased engagement. Think of it as a dance - with the right choreography, everyone knows their steps and performs in harmony.

Steps to enhance engagement:

• Align tasks with goals : Ensure tasks contribute to the overall goals of your team and organization.
• Offer variety : Mix up tasks to keep things interesting and provide opportunities for growth.
• Recognize achievements : Acknowledge hard work and accomplishments.

Improve Overall Team Morale

Finally, effective task assignment can lead to a happier, more cohesive team. When everyone feels valued and supported, team morale soars. Imagine a choir, each voice blending harmoniously to create a beautiful symphony - that's a team with high morale.

Ways to uplift team morale:

• Empower decision-making : Encourage team members to contribute their ideas and be part of the decision-making process.
• Foster a positive atmosphere : Cultivate an environment of open communication, trust, and support.
• Celebrate successes : Acknowledge both individual and team achievements, and celebrate them together.

Tools to Simplify Task Assignments in Teams

Microsoft outlook: not just for emails.

Yes, you heard that right. Beyond sending emails, Outlook has task features that allow managers to assign work to team members. You can set deadlines, prioritize, and even track progress. Think of it as your digital task manager. How cool is that?

Google Docs: Collaboration Made Easy

A favorite for many, Google Docs allows real-time collaboration. Need to distribute tasks ? Create a shared document, list down the tasks, and voila! Everyone can view, edit, or comment. Ever thought of using a simple shared document as a task distribution board?

Trello: Visual Task Management

For those of us who are visual creatures, Trello is a game-changer. Create boards, list assigned duties , and move them across columns as they progress. Remember playing with building blocks as a kid? It’s pretty much that, but digital and for grown-ups!

Common Mistakes to Avoid

Assigning tasks effectively is a skill that every leader must master to ensure team productivity and employee satisfaction. While the tips provided earlier can help you get there, being aware of common mistakes in task assignment is equally crucial. Avoiding these pitfalls can save you from derailing your projects and hampering your team's morale.

1. Overburdening Skilled Employees

It's tempting to give the bulk of the work to your most skilled team members, but this can lead to burnout and decreased productivity in the long term.

2. Lack of Clarity in Instructions

Vague or unclear instructions can result in misunderstandings, leading to poor quality of work or project delays. Always be specific and clear about what is expected.

3. Micromanaging

While it’s essential to oversee the progress of tasks, hovering over your team members can undermine their confidence and create a stressful work environment.

4. Failing to Prioritize Tasks

Not all tasks are created equal. Failing to prioritize can lead to poor allocation of resources, with less important tasks taking away time and energy from critical objectives.

5. Ignoring Team Input

Ignoring suggestions or feedback from your team can result in missed opportunities for more effective delegation and stronger team cohesion.

6. One-Size-Fits-All Approach

Remember that each team member has unique skills and limitations. Assigning tasks without considering these factors can lead to ineffective results and frustrated employees.

7. Neglecting Follow-Up

Assigning a task is not the end but part of an ongoing process. Failing to follow up can result in delays and could indicate to your team that the task wasn’t that important to begin with.

8. Fear of Delegating

Sometimes managers avoid delegating tasks because they feel that no one else can do the job as well as they can. This not only increases your workload but also deprives team members of growth opportunities.

A significant aspect of a leader's duties is delegating assignments to team members effectively. The secret to a manager's team functioning like an efficient machine is wise delegation.

Because of delegation, you won't have to spend hours on work that someone else can complete more quickly. Trying to handle everything on your own can quickly wear you out, regardless of your knowledge or expertise. Effectively delegating tasks enables you to keep on top of your own work while assisting team members in acquiring new abilities and developing a sense of comfort with taking ownership of tasks. 

Proper delegation of tasks also provides managers and team members with a learning opportunity since it enables everyone to build trust and become accustomed to exchanging comments and showing each other respect and appreciation.

Less is more when attempting to boost your team's output. Your team may become burned out if you try to increase their production too rapidly. In contrast, if you're too aggressive, your team can lose interest in their work and productivity might drop. Keep in mind that everyone will be more productive if they are part of the decision-making and execution process.

If you want to delegate tasks with ease and convenience, go for Edworking . This management tool lets you assign tasks and oversee your team's progress in a specific task. You can also conduct meetings to meet your team.`

Know that productivity greatly matters. With the right knowledge of assigning tasks to your team members, you can maximize productivity. Thus, achieving the goals and objectives of your organization.

What is the best way to assign tasks to team members?

Recognizing and understanding each member's unique strengths and expertise is paramount. Instead of assigning tasks randomly, it's always better to match each job with the individual’s skill set. Consider open dialogue, seek feedback, and ensure the assigned tasks align with both team and individual goals. It's a bit like giving everyone their favorite role in a play; wouldn't they shine brighter?

How do you assign tasks to a team in Teamwork?

In Teamwork, tasks can be assigned effortlessly. Start by creating a task list, then add individual tasks. Within each task, there's an option to 'Assign To.' Simply choose the team member you wish to assign the task to. Think of it as passing the baton in a relay race – each person knows when to run and when to pass it on!

Why is it important to assign tasks to your team members?

Assigning specific tasks helps in streamlining the workflow, ensuring accountability, and reducing overlaps or gaps in responsibilities. It also empowers team members by giving them ownership of their work. Have you ever seen a football team where everyone runs after the ball? Without clear roles, it's chaos!

How do you politely assign a task?

Start by acknowledging the individual's capabilities and expressing confidence in their ability to handle the task. Then, clearly explain the job's scope, expectations, and its importance in the overall project. Think of it as offering a piece of cake, not dumping a plate on their lap!

How do short term goals differ from long term goals?

Short-term goals act as stepping stones towards achieving long-term goals. While short-term goals focus on immediate challenges and tasks (think weeks or months), long-term goals look at the bigger picture and can span years. It's like comparing a sprint to a marathon. One's quick and intense, the other's about endurance and the long haul.

How to Give Assignments to Team Members

Table of Contents

The project has been divided into milestones, goals and objectives broken into tasks, and now it’s time to assign them. But as you open the project management platform, you’re faced with the unflattering process of wording the tasks, and choosing whom to assign them to.

Well, in this article, we offer advice on how to make that jumbled first moment a little clearer. There are actionable tips, learning the difference between allocating and delegating tasks, and suggested criteria on how to choose the best person for the job.

For a more precise overview, here’s a table of contents:

How do you assign employees tasks?

We normally think that assigning tasks is a time-consuming process that focuses on clearing out task lists to keep the project going. However, task assignment should actually be a more employee-oriented process that requires additional dedication and effort, which yields incredible results. But what do we mean by that?

Properly assigned tasks push your employees, projects, and the overall company forward. Here’s how.

• They strengthen accountability and trust between managers and employees;
• They help teach new skills and perfect old ones;
• They allow employees to get familiar with other teams and avenues of work;
• It becomes easier to make project estimates;
• Makes for great bases for performance reviews, etc.

The list could go on, but we’ll stop there for now.

Of course, such long-term benefits don’t come without some proverbial blood and sweat in the planning stage. Let’s take a look at the general ideas on assigning employee tasks, and specific steps you can take.

Motivation comes from knowing the bigger picture

When we talk about the bigger picture in project management, we talk about each team member’s task affecting their peer’s down the line. Since all tasks are usually small pieces of the puzzle, it helps to remind employees how their work contributes. For example:

• A high-quality draft can make a great foundation for the final version, and it can be completed more quickly.
• A well-prepared presentation can shave time off unnecessary questions and additional email inquiries.

It comes as no surprise that people work better and are more productive, when they know that their work has an impact on the company level.

And so, when you assign tasks, try to emphasize how they fit in the bigger picture. Simply saying: “ You doing X will help with Y and Z ” and how it reflects on the project as a whole will let an employee know that the task they were assigned is important.

Get your employees excited to commit

Telling people about the bigger picture and showing them what’s possible can only get them so far. It’s enough to ignite the initial spark, but for them to fully commit to the task, you need to define what that task entails.

They should be able to picture how to go about the work, what skills to use, and how to reach the desired result. The clearer the instructions, the more motivated they will be to work.

Simply put, give directions on how the task should be done, and make sure they understand. You can’t read each other’s minds, so it’s important everyone is on the same page.

Ask for task transparency

One of the best practices a company can employ is transparency among coworkers.

This is achieved by having everyone input their tasks for the day in a timesheet. The purpose of timesheets is to get an accurate idea of what everyone is working on at any given time.

When people know who works on what tasks, it’s easier for them to know if a person is available or busy, how far along they are with a task, etc.

So, when you give assignments to employees, label them with deadlines. Alternatively, you can ask for employees’ assessments on how long the work would take them, and use those timeframes.

Source: Clockify team timesheet

Timesheets are a great way to keep an eye on tasks and the people doing them. You get to:

• see who struggles with what (helps assess people’s skill sets);
• who burns through their workload and is available for additional tasks;
• whether your time estimates need correction;
• identify any wasted time.

💡 If your employees are insecure about keeping public records of their tasks, here are a few resources that can help:

• How to create order in your daily work tasks
• How to be more efficient with your tasks

Keep a crystal clear timeframe

While we’re discussing timesheets and deadline transparency, it’s important to mention that the times you set for task completions need to be clear-cut.

As we’ve mentioned, the safest way to assign deadlines is to consult the employees. They are better at assessing how long it will take them due to the tasks’ difficulty, overall deadlines, the standards that need to be met, and the skill required to complete it.

When they get a say in how long they should be doing an assignment, people tend to feel more accountable for the whole process. They will do their best to finish in time, since they actively participated in setting the deadline.

Set very clear expectations

Assigning a task should always include your (the supervisor’s) expectations pointed out. For example:

• Does a logo pitch need as many drafts as possible, or just a few finished pieces?

If you ask a designer to make some drafts for a logo pitch, you must specify the kind of quality you’re looking for. Explain whether you are looking for some sketches and drafts for a brainstorming meeting, or if you want clean, presentable pieces to show.

Additionally:

• How many pieces should the designer do?
• Is there a specific color palette they need to follow?
• How important is the task? Is this the day they finally decide on a logo, or is it still in the brainstorming stage? (decides on the quality of the work itself)

Assigning the task using the above questions, you help the designer understand how much effort precisely they need to invest. They become more motivated with clear instructions, as they know what is expected of them. There’s no fear of having their work criticized for something that wasn’t communicated in the beginning. And on your end, it prevents breached deadlines or subpar results.

Avoid creating dependency by being less involved

It’s not unusual for employees to ask their supervisors for their opinion on a certain task, or their performance.

The problem arises when a supervisor makes themselves too involved with the process. When they feel like the project might fall apart if they don’t have their eyes on every moving part all of the time. And when you have, say, 20 people waiting for that person’s approval, advice, or consultation, the workflow runs into a gridlock.

And wait time is wasted time.

Plus, people lose motivation, patience, and grow frustrated, as they could be doing other things.

So, learn not to jump in every time people call for your aid. Assign reliable people who can address smaller issues, while you handle the big picture. Learn how to expend your own energy where it is needed more.

For example – making a pitch presentation for potential investors keeps getting put off because one person needs you to check a client email they want to send, another wants your signature on a form, and the third wants to ask something about employee feedback that’s coming up.

In order to not be stretched thin, and have your time wasted on menial tasks, here’s where you can start:

How to mitigate the risk of being over-involved when assigning

• Remember that you match tasks to people

Which means that, by matching the right people with the right tasks, your involvement will be minimal. Take time to carefully choose who gets to do what. What is the point of assigning tasks if they can’t be done without you?

• Have a 10-point scale to judge the importance of items

How important are certain aspects of your leadership role? Are you absolutely necessary in every meeting, or during every call? Which tasks need your approval, and which ones can be approved by someone under you?

Rank these items on a scale of 0 to 10, based on their importance to you and the project. Top priority tasks should get your undivided attention. And what can be delegated, should be.

• Analyze your schedule

Your energy and time are needed on a much broader scale. The best way to spot if you’re wasting time being too involved is to look at your schedule. Identify how much time you’ve spent on low-priority items, and assess which issues could’ve been solved without you.

• Take into account priorities and deadlines

Step in only when absolutely necessary. You are in charge of things getting done on time, by people most qualified for assigned tasks. Determine what your priorities are for each project, and concern yourself only with those issues, unless there is a risk of breaching a deadline.

• Formulate a list of dependable people

If you know your employees (or team members) well enough, then you should be able to single out those who are more dependable and ready to take on a little more responsibilities. Write out the reasons how they could help by getting involved on low-priority items instead of you. When the time comes, rally them and present them with the idea, keeping in mind that this solution helps push the project forward. When authority is delegated to several people, there’s fewer chances of a hold-up in the workflow.

This also falls into the realm of task delegation , which we’ll get into later.

How do you decide what tasks to assign to which employees?

1. assign based on priority.

Naturally, some tasks will be more important than others. When you break down a project into tasks , spend some time assessing their priority level.

High-priority tasks should be the first on your list to allocate. Whether it’s because they’re time-sensitive, or require more effort and dedication.

Low priority tasks can be allocated as fillers to the first available person.

2. Assign based on employee availability

Another factor to consider when assigning tasks is who is available at the moment.

As the project moves along, new tasks will be added. You will have to allocate new work, but odds are you won’t always be able to pick who you want. Especially if a deadline is approaching, the person with the smallest workload should be your first choice.

Overloading an already busy individual just because they’re more skilled or you have faith in them the most puts an unnecessary strain on them. It’s cause for frustration, poorer results, and decreased productivity.

And as we’ve mentioned, if you have a timesheet with an overview of all the tasks and employees working on them, it’ll be much easier to spot who is free and who isn’t.

3. Assign based on employee skill level

High-priority tasks should go to employees with more experience in a given field or skill. However, you should occasionally give such tasks to other employees as well, to help them grow and become just as dependable. Giving people challenging tasks that can boost their experience is essential to productivity and morale.

Not to mention you get to have multiple high-skilled employees.

Low-priority tasks can be assigned to anyone, despite their experience level. They’re a good opportunity to practice, pick up new skills, or get smaller tasks out of the way to make room for more important ones.

4. Assign based on preference

Last, but not the least, preference can also play a big part in how you assign tasks.

It’s a given that some employees will prefer certain tasks over others. So it could be good to assign tasks at a meeting with the team. As you discuss priorities, deadlines, and availability, ask them which tasks they would like to work on.

If someone shows interest in a specific type of work, they should (with some consideration), be allowed to take it. After all, people are more productive when they’re assigned to something they find new or exciting.

Note: Apply this rule with caution. Letting people do only the tasks they want can stunt their career growth. Getting out of our comfort zones and occasionally doing tasks that we don’t like is how we develop and learn. So, don’t forget to document assignments as you hand them out, to spot these potential issues early on.

Allocating vs delegating tasks

While semantically similar words, delegation and allocation in terms of tasks are two different things.

When you allocate tasks , you are assigning tasks without giving the employees much authority, challenge, or room to grow. It includes you keeping all of the responsibility – writing out the tasks, making deadlines, providing resources, tools, etc. These are usually recurring tasks that can become repetitive.

When you delegate tasks , you allow for some of that responsibility to fizzle out from your fingers. All you think about are the objectives, while letting the employees figure out the details and means to get there.

However, that doesn’t mean delegation is right and the allocation is wrong.

Task allocation has its own place. It is just as important, as a lot of tasks come down to repeated processes that are still vital to the project progress. Task delegation is just a good opportunity for employees to learn, challenge themselves, and assess their skills and performance.

When should you allocate tasks?

Management and BizDev consultant Artem Albul shared his concept on task assignment, which he dubbed an “algorithm”. He emphasized how these criteria are useful only and only when you wish that employees perform the tasks based on your guidelines and instructions (aka allocation).

Here is how Albul broke down the algorithm:

Source: Artem Albul, TWA Consulting

As we can see, task allocation, while the more “controlling” of the two, also gives in-depth instructions and asks for confirmation on task clarity. A lot of it comes down to everyone being on the same page, leaving little to no room for misinterpretation (but also creative freedom).

How should you allocate tasks?

With all that we’ve mentioned in the previous section, here’s how your task allotment could look like, step by step.

• Break down your project

Detail out the goals, objectives, and some individual tasks (not all, be careful not to start micromanaging). Place the most important deadlines.

• Prioritize tasks and sort them

It’s important to know what tasks need to be done faster/better, to properly allocate your resources and manpower from the start.

• Make a list of teams and team members

Assign team leaders (if you don’t have them), and alternatively, ask for their input on individual employees skills, for a more informed decision on who gets what.

• Schedule a meeting

Make a meeting with the team leads and go through the points above. Assign tasks according to each team’s availability, interest, and skill required to successfully push the project forward.

• As team leads – assign tasks further down the pipeline
• Track task completion and make necessary changes along the way

Whether it’s pushing deadlines, reassigning tasks, or shifting around resources. This is perfectly fine and expected, so long as it doesn’t happen on every task you’ve assigned. Then, it is an indicator of poor pre-planning.

• Offer feedback and write performances

Don’t forget to track the progress and make notes of important details that might help the next task allocation/delegation process. It’s also a useful piece of information for the employees on what they need to improve on.

Allocating tasks is somewhat more complicated than we want it to be. But, this kind of thorough research and preparation will make projects run more smoothly. Employees will also be more satisfied with their work, and there will be less hurdles as deadlines approach.

When should you delegate tasks?

Delegation is a great practice in trust for both the employer/supervisor and the employee. The employer learns how to give away some of their control over the process, while the employee learns how to take more accountability for their work.

This lets you focus on big-picture aspects of your job, since you deal less with assignments that are low-priority for you. You save time and energy, while helping others move up in their careers.

How do you effectively delegate tasks as a leader?

As we’ve mentioned, delegating includes more employee independence. There are some additional components which make this type of task assignment more appealing than allocation, with great opportunities for growth.

Focus on delegating objectives instead of actual tasks

When you delegate, you focus on the objective that needs to be done. You shouldn’t give employees a “color by numbers” instruction on how to complete a task.

Communicate clearly what the end result should be and what expectations you (or the higher-ups) have. Leave the means for reaching that end goal to the employees themselves. Because how you solve a task may be completely different to how they will. And that is perfectly fine, so long as the result is the one you are looking for.

Keep the objectives challenging

When the objectives you’re delegating are too easy, chances are the person will either procrastinate, or feel like you don’t trust them enough. And if they’re too difficult, they get frustrated, anxious, and begin to panic.

It’s a good idea to be aware of an employee’s skill level, so you can gauge how much challenge and responsibility they can take on. For them to be the most productive and achieve great results, they need to enter “the state of Flow”.

Source: Optimal Experience , M. Csikszentmihalyi

💡 We’ve discussed the state of Flow in more detail in an article on time organization.

Encourage discussion and feedback

Let employees voice their opinions on the topic.

They should ask anything about the task, the goals, or the overall impact their work will have on the later stages or others’ workflow. It means they are interested in the task, and getting involved.

And if they aren’t asking questions themselves, you can always nudge them into proactivity.

• Is there something you’d like me to clarify?
• Do you already have any ideas on how to go about the task?
• Is the time we agreed upon enough for you?
• Will you need other resources, tools, or support?
• Do you see any problems or risks?

Questions like these help them feel valued, their efforts acknowledged, and let them know you care about the task and how well they perform. Just be careful not to overdo it, or you’ll start to look like a micromanager.

Give employees free rein, but offer support

Speaking of micromanaging, delegation means you let people problem-solve their way out on their own. There should be no reason for a manager to step in and control or supervise any step of the process, unless absolutely necessary.

However, what you should do is let them know you’re available for any advice should they feel stuck. Just because employees get authority on a certain task, and are left to their own devices, doesn’t mean the project has to suffer until they pull themselves up.

From time to time, ask them if they need anything from you, and make sure they know you’re there for any kind of support, consultation, or mediation. ANother good practice is to also give them additional learning opportunities – such as training, conferences, courses, etc.

Delegate objectives that move people forward

Choose assignments that boost the skills and employ all of their experiences, instead of something that simply needs to be done. For example:

• Tasks that require they brush up on their team communication skills;
• Learning how to allocate smaller tasks;
• Supervising others’ work and doing quality control;
• Learning to work with a new tool;
• Holding a meeting (or more), etc.

Find out which skills your employees may want or need to develop, and then plan your delegations accordingly. You want them to complete the task while having learned something new at the same time.

How to choose who to delegate to

Paul Beesley, senior director and consultant at Beyond Theory proposed a nifty checklist for when you’re choosing an employee to delegate to. It’s meant to simplify and speed up the process.

To successfully complete the delegated task, your chosen employee needs:

S – the skill to perform and complete a task

T – the time to complete the task, and if needed, learn the required skill

A – the authority to handle everything concerning the task

R – the necessary level of responsibility

R – the recognition for successfully completing the task

This list is a set of important criteria that should be covered when you consider who to assign to a specific task. However, depending on your niche, type of service, company size and the project at hand, the criteria are likely to change. And it should accommodate your needs, not the other way around.

Common task delegation mistakes to avoid

With all being said, there are some common mistakes managers and employers make, sometimes without even realizing it.

• Being too vague concerning deadlines (using: as soon as possible, when you get to it, I need it by yesterday). It creates unnecessary pressure.
• Being unavailable for questions and concerns. While you shouldn’t micromanage, you should still be present for support if an employee feels stuck. Ignoring them or handing them over to someone else could cause distrust. However, if you are usually swamped with work, set consultation hours each day or week.
• Having unclear directions. Specifying the allotted time for task completion and expectations should be the bare minimum when delegating tasks.
• Not providing feedback. No feedback is worse than bad feedback. Employees need to be aware when they’re doing good work, as well. In one company I worked for, the mantra was: “If no one is complaining about your work, that means you’re doing good”. And while it sounds like sound logic, it actually caused a lot of frustration. We were left directionless, and simply “floating” from task to task, never knowing if any of them had a positive impact on our performance.
• Not listening to employees. Take into account how they feel about a task or the objective. Let them give you feedback and if there are potential problems from the get-go.
• Assigning other people to the same task. If you notice a person struggling, the first instinct should be to ask them how they’re faring, and if they need any help. Some managers tend to assign other employees to help them without consultation, which leaves a sore taste. The employee will feel even more incompetent and will be less likely to take on a similar task in the future.
• Assuming people will know what you mean. This is one of the biggest problems. When you’re formulating a task, be as clear as possible about the goals and expectations. Oftentimes managers think that these things are implied, but the truth is – no one is a mind reader. To avoid having information misconstrued or misunderstood, communicate clearly and directly.

There could be more mistakes, especially for every different field and industry. If at all possible, identify the most common ones, made either by you or your peers. Note down all the instances where certain tasks weren’t up to par, and see what you could have changed in your assignment process to fix it. Maybe there wasn’t enough time or resources, you were unclear, or the employee wasn’t ready for such responsibility. Use the same procedure in all future task delegations. It’s the only way to learn and make the process quicker.

Use Clockify to assign tasks with ease

Now you’re a master of task delegation — congrats!

But there’s more to it than meets the eye.

In fact, what if you used a digital tool like Clockify to increase the likelihood that each job would be completed on time and on point?

In Clockify, you can easily create highly descriptive assignments that contain information like:

• Start time,
• Billability status,
• Name of the employee,
• Period for getting the assignment done,
• Hours per day to spend on the assignment, and more.

That way, you can plan who works on what, how long, and when.

Similarly, Clockify allows you to create project milestones to achieve results faster.

With the Milestones option, you can select dates for deadlines, allowing you to pin down important events in your projects.

For example, if your client expects you to keep them in the loop about developments, you can inform them promptly on whether your team has reached the agreed-upon milestones.

Refocus on your company’s big picture with a project and time tracking tool.

Marijana Stojanovic is a writer and researcher who specializes in the topics of productivity and time management.

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Manage phone numbers for users

• 23 contributors
• Applies to: Microsoft Teams

When you set up Calling Plans, Operator Connect, or Teams Phone Mobile, you assign phone numbers to your users. In Microsoft Teams, the phone number that you assign is listed when a user clicks Calls .

This article applies to Calling Plans, Operator Connect, and Teams Phone Mobile. For information about assigning, changing, or removing a phone number from a user in a Direct Routing scenario, see Enable users for Direct Routing, voice, and voicemail .

Before you assign a number for a Calling Plan, Operator Connect, or Teams Phone Mobile user, you must get numbers for your users. For more information, see Get numbers for Calling Plan users , Set up numbers for Operator Connect users , or Set up numbers for Teams Phone Mobile users .

One way to see whether a user has a license assigned is by going to the Microsoft Teams admin center > Users . If a license is assigned, it will be indicated on the page. You can also use the Microsoft 365 admin center.

This note applies to customers who have a hybrid deployment with an on-premises Active Directory. If you want to assign a Calling Plan or Operator Connect phone number to a user or resource account, you must ensure that any phone number stored in the msRTCSIP-Line attribute on the user or resource account object in the on-premises Active Directory has been removed, and the change has been synchronized to Microsoft 365.

Assign a phone number to a user

When assigning a phone number to a user, make sure the phone number and the usage location of the user are of the same country/region.

To assign a number by using the Teams admin center:

Open the Microsoft Teams admin center and log in with a user that is a Global admin. This is usually the account you used to sign up for Microsoft 365.

In the left navigation, click Voice > Phone numbers .

On the Phone numbers page, select an unassigned number in the list, and then click Edit .

In the Edit pane, under Assigned to , search for the user by display name or user name, and then click Assign .

To assign or change the associated emergency location, under Emergency location , search for and then select the location.

If you are assigning numbers to Operator Connect or Operator Connect Mobile users, you may or may not be able to assign or change the associated emergency location. This functionality will depend on your Operator. Contact your Operator for more information.

Depending on whether you want to send an email to the user with their phone number information, turn off or turn on Email user with telephone number information . By default, this is on.

Click Save .

To assign numbers by using PowerShell, use the Set-CsPhoneNumberAssignment cmdlet as follows:

For Calling Plan numbers:

For Operator Connect numbers:

For Teams Phone Mobile numbers:

For example:

Because of the latency between Microsoft 365 and Teams, it can take up to 24 hours for users to be enabled. If the phone number isn't assigned correctly after 24 hours, see Phone Number Service Center .

When you assign a phone number, the EnterpriseVoiceEnabled flag is automatically set to True.

Change a phone number for a user

To change a phone number for a user by using the Teams admin center:

In the left navigation, click Users , locate and double-click the user you want, click Account , and then under General information , make a note of the phone number that's assigned to the user.

On the Phone numbers page, select the number that you identified in step 1, and then click Edit .

In the Edit pane, under Assigned to , click the X to remove the user.

If you are changing numbers for Operator Connect or Teams Phone Mobile users, you may or may not be able to assign or change the associated emergency location. This functionality will depend on your Operator. Contact your Operator for more information.

For a PowerShell example, see Set-CsPhoneNumberAssignment .

Remove a phone number from a user

To remove a phone number by using the Teams admin center:

On the Phone numbers page, select the number that you identified in step 2, and then click Edit .

For a PowerShell example, see Remove-CsPhoneNumberAssignment .

Related topics

Manage phone numbers for your organization

Manage the usage of a phone number

Set-CsPhoneNumberAssignment

Plan your Teams Voice solution

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Additional resources

Python's Assignment Operator: Write Robust Assignments

Table of Contents

The Assignment Statement Syntax

The assignment operator, assignments and variables, other assignment syntax, initializing and updating variables, making multiple variables refer to the same object, updating lists through indices and slices, adding and updating dictionary keys, doing parallel assignments, unpacking iterables, providing default argument values, augmented mathematical assignment operators, augmented assignments for concatenation and repetition, augmented bitwise assignment operators, annotated assignment statements, assignment expressions with the walrus operator, managed attribute assignments, define or call a function, work with classes, import modules and objects, use a decorator, access the control variable in a for loop or a comprehension, use the as keyword, access the _ special variable in an interactive session, built-in objects, named constants.

Python’s assignment operators allow you to define assignment statements . This type of statement lets you create, initialize, and update variables throughout your code. Variables are a fundamental cornerstone in every piece of code, and assignment statements give you complete control over variable creation and mutation.

Learning about the Python assignment operator and its use for writing assignment statements will arm you with powerful tools for writing better and more robust Python code.

In this tutorial, you’ll:

• Use Python’s assignment operator to write assignment statements
• Take advantage of augmented assignments in Python
• Explore assignment variants, like assignment expressions and managed attributes
• Become aware of illegal and dangerous assignments in Python

You’ll dive deep into Python’s assignment statements. To get the most out of this tutorial, you should be comfortable with several basic topics, including variables , built-in data types , comprehensions , functions , and Python keywords . Before diving into some of the later sections, you should also be familiar with intermediate topics, such as object-oriented programming , constants , imports , type hints , properties , descriptors , and decorators .

Free Source Code: Click here to download the free assignment operator source code that you’ll use to write assignment statements that allow you to create, initialize, and update variables in your code.

Assignment Statements and the Assignment Operator

One of the most powerful programming language features is the ability to create, access, and mutate variables . In Python, a variable is a name that refers to a concrete value or object, allowing you to reuse that value or object throughout your code.

To create a new variable or to update the value of an existing one in Python, you’ll use an assignment statement . This statement has the following three components:

• A left operand, which must be a variable
• The assignment operator ( = )
• A right operand, which can be a concrete value , an object , or an expression

Here’s how an assignment statement will generally look in Python:

Here, variable represents a generic Python variable, while expression represents any Python object that you can provide as a concrete value—also known as a literal —or an expression that evaluates to a value.

To execute an assignment statement like the above, Python runs the following steps:

• Evaluate the right-hand expression to produce a concrete value or object . This value will live at a specific memory address in your computer.
• Store the object’s memory address in the left-hand variable . This step creates a new variable if the current one doesn’t already exist or updates the value of an existing variable.

The second step shows that variables work differently in Python than in other programming languages. In Python, variables aren’t containers for objects. Python variables point to a value or object through its memory address. They store memory addresses rather than objects.

This behavior difference directly impacts how data moves around in Python, which is always by reference . In most cases, this difference is irrelevant in your day-to-day coding, but it’s still good to know.

The central component of an assignment statement is the assignment operator . This operator is represented by the = symbol, which separates two operands:

• A value or an expression that evaluates to a concrete value

Operators are special symbols that perform mathematical , logical , and bitwise operations in a programming language. The objects (or object) on which an operator operates are called operands .

Unary operators, like the not Boolean operator, operate on a single object or operand, while binary operators act on two. That means the assignment operator is a binary operator.

Note: Like C , Python uses == for equality comparisons and = for assignments. Unlike C, Python doesn’t allow you to accidentally use the assignment operator ( = ) in an equality comparison.

Equality is a symmetrical relationship, and assignment is not. For example, the expression a == 42 is equivalent to 42 == a . In contrast, the statement a = 42 is correct and legal, while 42 = a isn’t allowed. You’ll learn more about illegal assignments later on.

The right-hand operand in an assignment statement can be any Python object, such as a number , list , string , dictionary , or even a user-defined object. It can also be an expression. In the end, expressions always evaluate to concrete objects, which is their return value.

Here are a few examples of assignments in Python:

The first two sample assignments in this code snippet use concrete values, also known as literals , to create and initialize number and greeting . The third example assigns the result of a math expression to the total variable, while the last example uses a Boolean expression.

Note: You can use the built-in id() function to inspect the memory address stored in a given variable.

Here’s a short example of how this function works:

The number in your output represents the memory address stored in number . Through this address, Python can access the content of number , which is the integer 42 in this example.

If you run this code on your computer, then you’ll get a different memory address because this value varies from execution to execution and computer to computer.

Unlike expressions, assignment statements don’t have a return value because their purpose is to make the association between the variable and its value. That’s why the Python interpreter doesn’t issue any output in the above examples.

Now that you know the basics of how to write an assignment statement, it’s time to tackle why you would want to use one.

The assignment statement is the explicit way for you to associate a name with an object in Python. You can use this statement for two main purposes:

• Creating and initializing new variables
• Updating the values of existing variables

When you use a variable name as the left operand in an assignment statement for the first time, you’re creating a new variable. At the same time, you’re initializing the variable to point to the value of the right operand.

On the other hand, when you use an existing variable in a new assignment, you’re updating or mutating the variable’s value. Strictly speaking, every new assignment will make the variable refer to a new value and stop referring to the old one. Python will garbage-collect all the values that are no longer referenced by any existing variable.

Assignment statements not only assign a value to a variable but also determine the data type of the variable at hand. This additional behavior is another important detail to consider in this kind of statement.

Because Python is a dynamically typed language, successive assignments to a given variable can change the variable’s data type. Changing the data type of a variable during a program’s execution is considered bad practice and highly discouraged. It can lead to subtle bugs that can be difficult to track down.

Unlike in math equations, in Python assignments, the left operand must be a variable rather than an expression or a value. For example, the following construct is illegal, and Python flags it as invalid syntax:

In this example, you have expressions on both sides of the = sign, and this isn’t allowed in Python code. The error message suggests that you may be confusing the equality operator with the assignment one, but that’s not the case. You’re really running an invalid assignment.

To correct this construct and convert it into a valid assignment, you’ll have to do something like the following:

In this code snippet, you first import the sqrt() function from the math module. Then you isolate the hypotenuse variable in the original equation by using the sqrt() function. Now your code works correctly.

Now you know what kind of syntax is invalid. But don’t get the idea that assignment statements are rigid and inflexible. In fact, they offer lots of room for customization, as you’ll learn next.

Python’s assignment statements are pretty flexible and versatile. You can write them in several ways, depending on your specific needs and preferences. Here’s a quick summary of the main ways to write assignments in Python:

Up to this point, you’ve mostly learned about the base assignment syntax in the above code snippet. In the following sections, you’ll learn about multiple, parallel, and augmented assignments. You’ll also learn about assignments with iterable unpacking.

Read on to see the assignment statements in action!

Assignment Statements in Action

You’ll find and use assignment statements everywhere in your Python code. They’re a fundamental part of the language, providing an explicit way to create, initialize, and mutate variables.

You can use assignment statements with plain names, like number or counter . You can also use assignments in more complicated scenarios, such as with:

• Qualified attribute names , like user.name
• Indices and slices of mutable sequences, like a_list[i] and a_list[i:j]
• Dictionary keys , like a_dict[key]

This list isn’t exhaustive. However, it gives you some idea of how flexible these statements are. You can even assign multiple values to an equal number of variables in a single line, commonly known as parallel assignment . Additionally, you can simultaneously assign the values in an iterable to a comma-separated group of variables in what’s known as an iterable unpacking operation.

In the following sections, you’ll dive deeper into all these topics and a few other exciting things that you can do with assignment statements in Python.

The most elementary use case of an assignment statement is to create a new variable and initialize it using a particular value or expression:

All these statements create new variables, assigning them initial values or expressions. For an initial value, you should always use the most sensible and least surprising value that you can think of. For example, initializing a counter to something different from 0 may be confusing and unexpected because counters almost always start having counted no objects.

Updating a variable’s current value or state is another common use case of assignment statements. In Python, assigning a new value to an existing variable doesn’t modify the variable’s current value. Instead, it causes the variable to refer to a different value. The previous value will be garbage-collected if no other variable refers to it.

Consider the following examples:

These examples run two consecutive assignments on the same variable. The first one assigns the string "Hello, World!" to a new variable named greeting .

The second assignment updates the value of greeting by reassigning it the "Hi, Pythonistas!" string. In this example, the original value of greeting —the "Hello, World!" string— is lost and garbage-collected. From this point on, you can’t access the old "Hello, World!" string.

Even though running multiple assignments on the same variable during a program’s execution is common practice, you should use this feature with caution. Changing the value of a variable can make your code difficult to read, understand, and debug. To comprehend the code fully, you’ll have to remember all the places where the variable was changed and the sequential order of those changes.

Because assignments also define the data type of their target variables, it’s also possible for your code to accidentally change the type of a given variable at runtime. A change like this can lead to breaking errors, like AttributeError exceptions. Remember that strings don’t have the same methods and attributes as lists or dictionaries, for example.

In Python, you can make several variables reference the same object in a multiple-assignment line. This can be useful when you want to initialize several similar variables using the same initial value:

In this example, you chain two assignment operators in a single line. This way, your two variables refer to the same initial value of 0 . Note how both variables hold the same memory address, so they point to the same instance of 0 .

When it comes to integer variables, Python exhibits a curious behavior. It provides a numeric interval where multiple assignments behave the same as independent assignments. Consider the following examples:

To create n and m , you use independent assignments. Therefore, they should point to different instances of the number 42 . However, both variables hold the same object, which you confirm by comparing their corresponding memory addresses.

Now check what happens when you use a greater initial value:

Now n and m hold different memory addresses, which means they point to different instances of the integer number 300 . In contrast, when you use multiple assignments, both variables refer to the same object. This tiny difference can save you small bits of memory if you frequently initialize integer variables in your code.

The implicit behavior of making independent assignments point to the same integer number is actually an optimization called interning . It consists of globally caching the most commonly used integer values in day-to-day programming.

Under the hood, Python defines a numeric interval in which interning takes place. That’s the interning interval for integer numbers. You can determine this interval using a small script like the following:

This script helps you determine the interning interval by comparing integer numbers from -10 to 500 . If you run the script from your command line, then you’ll get an output like the following:

This output means that if you use a single number between -5 and 256 to initialize several variables in independent statements, then all these variables will point to the same object, which will help you save small bits of memory in your code.

In contrast, if you use a number that falls outside of the interning interval, then your variables will point to different objects instead. Each of these objects will occupy a different memory spot.

You can use the assignment operator to mutate the value stored at a given index in a Python list. The operator also works with list slices . The syntax to write these types of assignment statements is the following:

In the first construct, expression can return any Python object, including another list. In the second construct, expression must return a series of values as a list, tuple, or any other sequence. You’ll get a TypeError if expression returns a single value.

Note: When creating slice objects, you can use up to three arguments. These arguments are start , stop , and step . They define the number that starts the slice, the number at which the slicing must stop retrieving values, and the step between values.

Here’s an example of updating an individual value in a list:

In this example, you update the value at index 2 using an assignment statement. The original number at that index was 7 , and after the assignment, the number is 3 .

Note: Using indices and the assignment operator to update a value in a tuple or a character in a string isn’t possible because tuples and strings are immutable data types in Python.

Their immutability means that you can’t change their items in place :

You can’t use the assignment operator to change individual items in tuples or strings. These data types are immutable and don’t support item assignments.

It’s important to note that you can’t add new values to a list by using indices that don’t exist in the target list:

In this example, you try to add a new value to the end of numbers by using an index that doesn’t exist. This assignment isn’t allowed because there’s no way to guarantee that new indices will be consecutive. If you ever want to add a single value to the end of a list, then use the .append() method.

If you want to update several consecutive values in a list, then you can use slicing and an assignment statement:

In the first example, you update the letters between indices 1 and 3 without including the letter at 3 . The second example updates the letters from index 3 until the end of the list. Note that this slicing appends a new value to the list because the target slice is shorter than the assigned values.

Also note that the new values were provided through a tuple, which means that this type of assignment allows you to use other types of sequences to update your target list.

The third example updates a single value using a slice where both indices are equal. In this example, the assignment inserts a new item into your target list.

In the final example, you use a step of 2 to replace alternating letters with their lowercase counterparts. This slicing starts at index 1 and runs through the whole list, stepping by two items each time.

Updating the value of an existing key or adding new key-value pairs to a dictionary is another common use case of assignment statements. To do these operations, you can use the following syntax:

The first construct helps you update the current value of an existing key, while the second construct allows you to add a new key-value pair to the dictionary.

For example, to update an existing key, you can do something like this:

In this example, you update the current inventory of oranges in your store using an assignment. The left operand is the existing dictionary key, and the right operand is the desired new value.

While you can’t add new values to a list by assignment, dictionaries do allow you to add new key-value pairs using the assignment operator. In the example below, you add a lemon key to inventory :

In this example, you successfully add a new key-value pair to your inventory with 100 units. This addition is possible because dictionaries don’t have consecutive indices but unique keys, which are safe to add by assignment.

The assignment statement does more than assign the result of a single expression to a single variable. It can also cope nicely with assigning multiple values to multiple variables simultaneously in what’s known as a parallel assignment .

Here’s the general syntax for parallel assignments in Python:

Note that the left side of the statement can be either a tuple or a list of variables. Remember that to create a tuple, you just need a series of comma-separated elements. In this case, these elements must be variables.

The right side of the statement must be a sequence or iterable of values or expressions. In any case, the number of elements in the right operand must match the number of variables on the left. Otherwise, you’ll get a ValueError exception.

In the following example, you compute the two solutions of a quadratic equation using a parallel assignment:

In this example, you first import sqrt() from the math module. Then you initialize the equation’s coefficients in a parallel assignment.

The equation’s solution is computed in another parallel assignment. The left operand contains a tuple of two variables, x1 and x2 . The right operand consists of a tuple of expressions that compute the solutions for the equation. Note how each result is assigned to each variable by position.

A classical use case of parallel assignment is to swap values between variables:

The highlighted line does the magic and swaps the values of previous_value and next_value at the same time. Note that in a programming language that doesn’t support this kind of assignment, you’d have to use a temporary variable to produce the same effect:

In this example, instead of using parallel assignment to swap values between variables, you use a new variable to temporarily store the value of previous_value to avoid losing its reference.

For a concrete example of when you’d need to swap values between variables, say you’re learning how to implement the bubble sort algorithm , and you come up with the following function:

In the highlighted line, you use a parallel assignment to swap values in place if the current value is less than the next value in the input list. To dive deeper into the bubble sort algorithm and into sorting algorithms in general, check out Sorting Algorithms in Python .

You can use assignment statements for iterable unpacking in Python. Unpacking an iterable means assigning its values to a series of variables one by one. The iterable must be the right operand in the assignment, while the variables must be the left operand.

Like in parallel assignments, the variables must come as a tuple or list. The number of variables must match the number of values in the iterable. Alternatively, you can use the unpacking operator ( * ) to grab several values in a variable if the number of variables doesn’t match the iterable length.

Here’s the general syntax for iterable unpacking in Python:

Iterable unpacking is a powerful feature that you can use all around your code. It can help you write more readable and concise code. For example, you may find yourself doing something like this:

Whenever you do something like this in your code, go ahead and replace it with a more readable iterable unpacking using a single and elegant assignment, like in the following code snippet:

The numbers list on the right side contains four values. The assignment operator unpacks these values into the four variables on the left side of the statement. The values in numbers get assigned to variables in the same order that they appear in the iterable. The assignment is done by position.

Note: Because Python sets are also iterables, you can use them in an iterable unpacking operation. However, it won’t be clear which value goes to which variable because sets are unordered data structures.

The above example shows the most common form of iterable unpacking in Python. The main condition for the example to work is that the number of variables matches the number of values in the iterable.

What if you don’t know the iterable length upfront? Will the unpacking work? It’ll work if you use the * operator to pack several values into one of your target variables.

For example, say that you want to unpack the first and second values in numbers into two different variables. Additionally, you would like to pack the rest of the values in a single variable conveniently called rest . In this case, you can use the unpacking operator like in the following code:

In this example, first and second hold the first and second values in numbers , respectively. These values are assigned by position. The * operator packs all the remaining values in the input iterable into rest .

The unpacking operator ( * ) can appear at any position in your series of target variables. However, you can only use one instance of the operator:

The iterable unpacking operator works in any position in your list of variables. Note that you can only use one unpacking operator per assignment. Using more than one unpacking operator isn’t allowed and raises a SyntaxError .

Dropping away unwanted values from the iterable is a common use case for the iterable unpacking operator. Consider the following example:

In Python, if you want to signal that a variable won’t be used, then you use an underscore ( _ ) as the variable’s name. In this example, useful holds the only value that you need to use from the input iterable. The _ variable is a placeholder that guarantees that the unpacking works correctly. You won’t use the values that end up in this disposable variable.

Note: In the example above, if your target iterable is a sequence data type, such as a list or tuple, then it’s best to access its last item directly.

To do this, you can use the -1 index:

Using -1 gives you access to the last item of any sequence data type. In contrast, if you’re dealing with iterators , then you won’t be able to use indices. That’s when the *_ syntax comes to your rescue.

The pattern used in the above example comes in handy when you have a function that returns multiple values, and you only need a few of these values in your code. The os.walk() function may provide a good example of this situation.

This function allows you to iterate over the content of a directory recursively. The function returns a generator object that yields three-item tuples. Each tuple contains the following items:

• The path to the current directory as a string
• The names of all the immediate subdirectories as a list of strings
• The names of all the files in the current directory as a list of strings

Now say that you want to iterate over your home directory and list only the files. You can do something like this:

This code will issue a long output depending on the current content of your home directory. Note that you need to provide a string with the path to your user folder for the example to work. The _ placeholder variable will hold the unwanted data.

In contrast, the filenames variable will hold the list of files in the current directory, which is the data that you need. The code will print the list of filenames. Go ahead and give it a try!

The assignment operator also comes in handy when you need to provide default argument values in your functions and methods. Default argument values allow you to define functions that take arguments with sensible defaults. These defaults allow you to call the function with specific values or to simply rely on the defaults.

As an example, consider the following function:

This function takes one argument, called name . This argument has a sensible default value that’ll be used when you call the function without arguments. To provide this sensible default value, you use an assignment.

Note: According to PEP 8 , the style guide for Python code, you shouldn’t use spaces around the assignment operator when providing default argument values in function definitions.

Here’s how the function works:

If you don’t provide a name during the call to greet() , then the function uses the default value provided in the definition. If you provide a name, then the function uses it instead of the default one.

Up to this point, you’ve learned a lot about the Python assignment operator and how to use it for writing different types of assignment statements. In the following sections, you’ll dive into a great feature of assignment statements in Python. You’ll learn about augmented assignments .

Augmented Assignment Operators in Python

Python supports what are known as augmented assignments . An augmented assignment combines the assignment operator with another operator to make the statement more concise. Most Python math and bitwise operators have an augmented assignment variation that looks something like this:

Note that $ isn’t a valid Python operator. In this example, it’s a placeholder for a generic operator. This statement works as follows:

• Evaluate expression to produce a value.
• Run the operation defined by the operator that prefixes the = sign, using the previous value of variable and the return value of expression as operands.
• Assign the resulting value back to variable .

In practice, an augmented assignment like the above is equivalent to the following statement:

As you can conclude, augmented assignments are syntactic sugar . They provide a shorthand notation for a specific and popular kind of assignment.

For example, say that you need to define a counter variable to count some stuff in your code. You can use the += operator to increment counter by 1 using the following code:

In this example, the += operator, known as augmented addition , adds 1 to the previous value in counter each time you run the statement counter += 1 .

It’s important to note that unlike regular assignments, augmented assignments don’t create new variables. They only allow you to update existing variables. If you use an augmented assignment with an undefined variable, then you get a NameError :

Python evaluates the right side of the statement before assigning the resulting value back to the target variable. In this specific example, when Python tries to compute x + 1 , it finds that x isn’t defined.

Great! You now know that an augmented assignment consists of combining the assignment operator with another operator, like a math or bitwise operator. To continue this discussion, you’ll learn which math operators have an augmented variation in Python.

An equation like x = x + b doesn’t make sense in math. But in programming, a statement like x = x + b is perfectly valid and can be extremely useful. It adds b to x and reassigns the result back to x .

As you already learned, Python provides an operator to shorten x = x + b . Yes, the += operator allows you to write x += b instead. Python also offers augmented assignment operators for most math operators. Here’s a summary:

The Example column provides generic examples of how to use the operators in actual code. Note that x must be previously defined for the operators to work correctly. On the other hand, y can be either a concrete value or an expression that returns a value.

Note: The matrix multiplication operator ( @ ) doesn’t support augmented assignments yet.

Consider the following example of matrix multiplication using NumPy arrays:

Note that the exception traceback indicates that the operation isn’t supported yet.

To illustrate how augmented assignment operators work, say that you need to create a function that takes an iterable of numeric values and returns their sum. You can write this function like in the code below:

In this function, you first initialize total to 0 . In each iteration, the loop adds a new number to total using the augmented addition operator ( += ). When the loop terminates, total holds the sum of all the input numbers. Variables like total are known as accumulators . The += operator is typically used to update accumulators.

Note: Computing the sum of a series of numeric values is a common operation in programming. Python provides the built-in sum() function for this specific computation.

Another interesting example of using an augmented assignment is when you need to implement a countdown while loop to reverse an iterable. In this case, you can use the -= operator:

In this example, custom_reversed() is a generator function because it uses yield . Calling the function creates an iterator that yields items from the input iterable in reverse order. To decrement the control variable, index , you use an augmented subtraction statement that subtracts 1 from the variable in every iteration.

Note: Similar to summing the values in an iterable, reversing an iterable is also a common requirement. Python provides the built-in reversed() function for this specific computation, so you don’t have to implement your own. The above example only intends to show the -= operator in action.

Finally, counters are a special type of accumulators that allow you to count objects. Here’s an example of a letter counter:

To create this counter, you use a Python dictionary. The keys store the letters. The values store the counts. Again, to increment the counter, you use an augmented addition.

Counters are so common in programming that Python provides a tool specially designed to facilitate the task of counting. Check out Python’s Counter: The Pythonic Way to Count Objects for a complete guide on how to use this tool.

The += and *= augmented assignment operators also work with sequences , such as lists, tuples, and strings. The += operator performs augmented concatenations , while the *= operator performs augmented repetition .

These operators behave differently with mutable and immutable data types:

Note that the augmented concatenation operator operates on two sequences, while the augmented repetition operator works on a sequence and an integer number.

Consider the following examples and pay attention to the result of calling the id() function:

Mutable sequences like lists support the += augmented assignment operator through the .__iadd__() method, which performs an in-place addition. This method mutates the underlying list, appending new values to its end.

Note: If the left operand is mutable, then x += y may not be completely equivalent to x = x + y . For example, if you do list_1 = list_1 + list_2 instead of list_1 += list_2 above, then you’ll create a new list instead of mutating the existing one. This may be important if other variables refer to the same list.

Immutable sequences, such as tuples and strings, don’t provide an .__iadd__() method. Therefore, augmented concatenations fall back to the .__add__() method, which doesn’t modify the sequence in place but returns a new sequence.

There’s another difference between mutable and immutable sequences when you use them in an augmented concatenation. Consider the following examples:

With mutable sequences, the data to be concatenated can come as a list, tuple, string, or any other iterable. In contrast, with immutable sequences, the data can only come as objects of the same type. You can concatenate tuples to tuples and strings to strings, for example.

Again, the augmented repetition operator works with a sequence on the left side of the operator and an integer on the right side. This integer value represents the number of repetitions to get in the resulting sequence:

When the *= operator operates on a mutable sequence, it falls back to the .__imul__() method, which performs the operation in place, modifying the underlying sequence. In contrast, if *= operates on an immutable sequence, then .__mul__() is called, returning a new sequence of the same type.

Note: Values of n less than 0 are treated as 0 , which returns an empty sequence of the same data type as the target sequence on the left side of the *= operand.

Note that a_list[0] is a_list[3] returns True . This is because the *= operator doesn’t make a copy of the repeated data. It only reflects the data. This behavior can be a source of issues when you use the operator with mutable values.

For example, say that you want to create a list of lists to represent a matrix, and you need to initialize the list with n empty lists, like in the following code:

In this example, you use the *= operator to populate matrix with three empty lists. Now check out what happens when you try to populate the first sublist in matrix :

The appended values are reflected in the three sublists. This happens because the *= operator doesn’t make copies of the data that you want to repeat. It only reflects the data. Therefore, every sublist in matrix points to the same object and memory address.

If you ever need to initialize a list with a bunch of empty sublists, then use a list comprehension :

This time, when you populate the first sublist of matrix , your changes aren’t propagated to the other sublists. This is because all the sublists are different objects that live in different memory addresses.

Bitwise operators also have their augmented versions. The logic behind them is similar to that of the math operators. The following table summarizes the augmented bitwise operators that Python provides:

The augmented bitwise assignment operators perform the intended operation by taking the current value of the left operand as a starting point for the computation. Consider the following example, which uses the & and &= operators:

Programmers who work with high-level languages like Python rarely use bitwise operations in day-to-day coding. However, these types of operations can be useful in some situations.

For example, say that you’re implementing a Unix-style permission system for your users to access a given resource. In this case, you can use the characters "r" for reading, "w" for writing, and "x" for execution permissions, respectively. However, using bit-based permissions could be more memory efficient:

You can assign permissions to your users with the OR bitwise operator or the augmented OR bitwise operator. Finally, you can use the bitwise AND operator to check if a user has a certain permission, as you did in the final two examples.

You’ve learned a lot about augmented assignment operators and statements in this and the previous sections. These operators apply to math, concatenation, repetition, and bitwise operations. Now you’re ready to look at other assignment variants that you can use in your code or find in other developers’ code.

Other Assignment Variants

So far, you’ve learned that Python’s assignment statements and the assignment operator are present in many different scenarios and use cases. Those use cases include variable creation and initialization, parallel assignments, iterable unpacking, augmented assignments, and more.

In the following sections, you’ll learn about a few variants of assignment statements that can be useful in your future coding. You can also find these assignment variants in other developers’ code. So, you should be aware of them and know how they work in practice.

In short, you’ll learn about:

• Annotated assignment statements with type hints
• Assignment expressions with the walrus operator
• Managed attribute assignments with properties and descriptors
• Implicit assignments in Python

These topics will take you through several interesting and useful examples that showcase the power of Python’s assignment statements.

PEP 526 introduced a dedicated syntax for variable annotation back in Python 3.6 . The syntax consists of the variable name followed by a colon ( : ) and the variable type:

Even though these statements declare three variables with their corresponding data types, the variables aren’t actually created or initialized. So, for example, you can’t use any of these variables in an augmented assignment statement:

If you try to use one of the previously declared variables in an augmented assignment, then you get a NameError because the annotation syntax doesn’t define the variable. To actually define it, you need to use an assignment.

The good news is that you can use the variable annotation syntax in an assignment statement with the = operator:

The first statement in this example is what you can call an annotated assignment statement in Python. You may ask yourself why you should use type annotations in this type of assignment if everybody can see that counter holds an integer number. You’re right. In this example, the variable type is unambiguous.

However, imagine what would happen if you found a variable initialization like the following:

What would be the data type of each user in users ? If the initialization of users is far away from the definition of the User class, then there’s no quick way to answer this question. To clarify this ambiguity, you can provide the appropriate type hint for users :

Now you’re clearly communicating that users will hold a list of User instances. Using type hints in assignment statements that initialize variables to empty collection data types—such as lists, tuples, or dictionaries—allows you to provide more context about how your code works. This practice will make your code more explicit and less error-prone.

Up to this point, you’ve learned that regular assignment statements with the = operator don’t have a return value. They just create or update variables. Therefore, you can’t use a regular assignment to assign a value to a variable within the context of an expression.

Python 3.8 changed this by introducing a new type of assignment statement through PEP 572 . This new statement is known as an assignment expression or named expression .

Note: Expressions are a special type of statement in Python. Their distinguishing characteristic is that expressions always have a return value, which isn’t the case with all types of statements.

Unlike regular assignments, assignment expressions have a return value, which is why they’re called expressions in the first place. This return value is automatically assigned to a variable. To write an assignment expression, you must use the walrus operator ( := ), which was named for its resemblance to the eyes and tusks of a walrus lying on its side.

The general syntax of an assignment statement is as follows:

This expression looks like a regular assignment. However, instead of using the assignment operator ( = ), it uses the walrus operator ( := ). For the expression to work correctly, the enclosing parentheses are required in most use cases. However, there are certain situations in which these parentheses are superfluous. Either way, they won’t hurt you.

Assignment expressions come in handy when you want to reuse the result of an expression or part of an expression without using a dedicated assignment to grab this value beforehand.

Note: Assignment expressions with the walrus operator have several practical use cases. They also have a few restrictions. For example, they’re illegal in certain contexts, such as lambda functions, parallel assignments, and augmented assignments.

For a deep dive into this special type of assignment, check out The Walrus Operator: Python’s Assignment Expressions .

A particularly handy use case for assignment expressions is when you need to grab the result of an expression used in the context of a conditional statement. For example, say that you need to write a function to compute the mean of a sample of numeric values. Without the walrus operator, you could do something like this:

In this example, the sample size ( n ) is a value that you need to reuse in two different computations. First, you need to check whether the sample has data points or not. Then you need to use the sample size to compute the mean. To be able to reuse n , you wrote a dedicated assignment statement at the beginning of your function to grab the sample size.

You can avoid this extra step by combining it with the first use of the target value, len(sample) , using an assignment expression like the following:

The assignment expression introduced in the conditional computes the sample size and assigns it to n . This way, you guarantee that you have a reference to the sample size to use in further computations.

Because the assignment expression returns the sample size anyway, the conditional can check whether that size equals 0 or not and then take a certain course of action depending on the result of this check. The return statement computes the sample’s mean and sends the result back to the function caller.

Python provides a few tools that allow you to fine-tune the operations behind the assignment of attributes. The attributes that run implicit operations on assignments are commonly referred to as managed attributes .

Properties are the most commonly used tool for providing managed attributes in your classes. However, you can also use descriptors and, in some cases, the .__setitem__() special method.

To understand what fine-tuning the operation behind an assignment means, say that you need a Point class that only allows numeric values for its coordinates, x and y . To write this class, you must set up a validation mechanism to reject non-numeric values. You can use properties to attach the validation functionality on top of x and y .

Here’s how you can write your class:

In Point , you use properties for the .x and .y coordinates. Each property has a getter and a setter method . The getter method returns the attribute at hand. The setter method runs the input validation using a try … except block and the built-in float() function. Then the method assigns the result to the actual attribute.

Here’s how your class works in practice:

When you use a property-based attribute as the left operand in an assignment statement, Python automatically calls the property’s setter method, running any computation from it.

Because both .x and .y are properties, the input validation runs whenever you assign a value to either attribute. In the first example, the input values are valid numbers and the validation passes. In the final example, "one" isn’t a valid numeric value, so the validation fails.

If you look at your Point class, you’ll note that it follows a repetitive pattern, with the getter and setter methods looking quite similar. To avoid this repetition, you can use a descriptor instead of a property.

A descriptor is a class that implements the descriptor protocol , which consists of four special methods :

• .__get__() runs when you access the attribute represented by the descriptor.
• .__set__() runs when you use the attribute in an assignment statement.
• .__delete__() runs when you use the attribute in a del statement.
• .__set_name__() sets the attribute’s name, creating a name-aware attribute.

Here’s how your code may look if you use a descriptor to represent the coordinates of your Point class:

You’ve removed repetitive code by defining Coordinate as a descriptor that manages the input validation in a single place. Go ahead and run the following code to try out the new implementation of Point :

Great! The class works as expected. Thanks to the Coordinate descriptor, you now have a more concise and non-repetitive version of your original code.

Another way to fine-tune the operations behind an assignment statement is to provide a custom implementation of .__setitem__() in your class. You’ll use this method in classes representing mutable data collections, such as custom list-like or dictionary-like classes.

As an example, say that you need to create a dictionary-like class that stores its keys in lowercase letters:

In this example, you create a dictionary-like class by subclassing UserDict from collections . Your class implements a .__setitem__() method, which takes key and value as arguments. The method uses str.lower() to convert key into lowercase letters before storing it in the underlying dictionary.

Python implicitly calls .__setitem__() every time you use a key as the left operand in an assignment statement. This behavior allows you to tweak how you process the assignment of keys in your custom dictionary.

Implicit Assignments in Python

Python implicitly runs assignments in many different contexts. In most cases, these implicit assignments are part of the language syntax. In other cases, they support specific behaviors.

Whenever you complete an action in the following list, Python runs an implicit assignment for you:

• Define or call a function
• Define or instantiate a class
• Use the current instance , self
• Import modules and objects
• Use a decorator
• Use the control variable in a for loop or a comprehension
• Use the as qualifier in with statements , imports, and try … except blocks
• Access the _ special variable in an interactive session

Behind the scenes, Python performs an assignment in every one of the above situations. In the following subsections, you’ll take a tour of all these situations.

When you define a function, the def keyword implicitly assigns a function object to your function’s name. Here’s an example:

From this point on, the name greet refers to a function object that lives at a given memory address in your computer. You can call the function using its name and a pair of parentheses with appropriate arguments. This way, you can reuse greet() wherever you need it.

If you call your greet() function with fellow as an argument, then Python implicitly assigns the input argument value to the name parameter on the function’s definition. The parameter will hold a reference to the input arguments.

When you define a class with the class keyword, you’re assigning a specific name to a class object . You can later use this name to create instances of that class. Consider the following example:

In this example, the name User holds a reference to a class object, which was defined in __main__.User . Like with a function, when you call the class’s constructor with the appropriate arguments to create an instance, Python assigns the arguments to the parameters defined in the class initializer .

Another example of implicit assignments is the current instance of a class, which in Python is called self by convention. This name implicitly gets a reference to the current object whenever you instantiate a class. Thanks to this implicit assignment, you can access .name and .job from within the class without getting a NameError in your code.

Import statements are another variant of implicit assignments in Python. Through an import statement, you assign a name to a module object, class, function, or any other imported object. This name is then created in your current namespace so that you can access it later in your code:

In this example, you import the sys module object from the standard library and assign it to the sys name, which is now available in your namespace, as you can conclude from the second call to the built-in dir() function.

You also run an implicit assignment when you use a decorator in your code. The decorator syntax is just a shortcut for a formal assignment like the following:

Here, you call decorator() with a function object as an argument. This call will typically add functionality on top of the existing function, func() , and return a function object, which is then reassigned to the func name.

The decorator syntax is syntactic sugar for replacing the previous assignment, which you can now write as follows:

Even though this new code looks pretty different from the above assignment, the code implicitly runs the same steps.

Another situation in which Python automatically runs an implicit assignment is when you use a for loop or a comprehension. In both cases, you can have one or more control variables that you then use in the loop or comprehension body:

The memory address of control_variable changes on each iteration of the loop. This is because Python internally reassigns a new value from the loop iterable to the loop control variable on each cycle.

The same behavior appears in comprehensions:

In the end, comprehensions work like for loops but use a more concise syntax. This comprehension creates a new list of strings that mimic the output from the previous example.

The as keyword in with statements, except clauses, and import statements is another example of an implicit assignment in Python. This time, the assignment isn’t completely implicit because the as keyword provides an explicit way to define the target variable.

In a with statement, the target variable that follows the as keyword will hold a reference to the context manager that you’re working with. As an example, say that you have a hello.txt file with the following content:

You want to open this file and print each of its lines on your screen. In this case, you can use the with statement to open the file using the built-in open() function.

In the example below, you accomplish this. You also add some calls to print() that display information about the target variable defined by the as keyword:

This with statement uses the open() function to open hello.txt . The open() function is a context manager that returns a text file object represented by an io.TextIOWrapper instance.

Since you’ve defined a hello target variable with the as keyword, now that variable holds a reference to the file object itself. You confirm this by printing the object and its memory address. Finally, the for loop iterates over the lines and prints this content to the screen.

When it comes to using the as keyword in the context of an except clause, the target variable will contain an exception object if any exception occurs:

In this example, you run a division that raises a ZeroDivisionError . The as keyword assigns the raised exception to error . Note that when you print the exception object, you get only the message because exceptions have a custom .__str__() method that supports this behavior.

There’s a final detail to remember when using the as specifier in a try … except block like the one in the above example. Once you leave the except block, the target variable goes out of scope , and you can’t use it anymore.

Finally, Python’s import statements also support the as keyword. In this context, you can use as to import objects with a different name:

In these examples, you use the as keyword to import the numpy package with the np name and pandas with the name pd . If you call dir() , then you’ll realize that np and pd are now in your namespace. However, the numpy and pandas names are not.

Using the as keyword in your imports comes in handy when you want to use shorter names for your objects or when you need to use different objects that originally had the same name in your code. It’s also useful when you want to make your imported names non-public using a leading underscore, like in import sys as _sys .

The final implicit assignment that you’ll learn about in this tutorial only occurs when you’re using Python in an interactive session. Every time you run a statement that returns a value, the interpreter stores the result in a special variable denoted by a single underscore character ( _ ).

You can access this special variable as you’d access any other variable:

These examples cover several situations in which Python internally uses the _ variable. The first two examples evaluate expressions. Expressions always have a return value, which is automatically assigned to the _ variable every time.

When it comes to function calls, note that if your function returns a fruitful value, then _ will hold it. In contrast, if your function returns None , then the _ variable will remain untouched.

The next example consists of a regular assignment statement. As you already know, regular assignments don’t return any value, so the _ variable isn’t updated after these statements run. Finally, note that accessing a variable in an interactive session returns the value stored in the target variable. This value is then assigned to the _ variable.

Note that since _ is a regular variable, you can use it in other expressions:

In this example, you first create a list of values. Then you call len() to get the number of values in the list. Python automatically stores this value in the _ variable. Finally, you use _ to compute the mean of your list of values.

Now that you’ve learned about some of the implicit assignments that Python runs under the hood, it’s time to dig into a final assignment-related topic. In the following few sections, you’ll learn about some illegal and dangerous assignments that you should be aware of and avoid in your code.

Illegal and Dangerous Assignments in Python

In Python, you’ll find a few situations in which using assignments is either forbidden or dangerous. You must be aware of these special situations and try to avoid them in your code.

In the following sections, you’ll learn when using assignment statements isn’t allowed in Python. You’ll also learn about some situations in which using assignments should be avoided if you want to keep your code consistent and robust.

You can’t use Python keywords as variable names in assignment statements. This kind of assignment is explicitly forbidden. If you try to use a keyword as a variable name in an assignment, then you get a SyntaxError :

Whenever you try to use a keyword as the left operand in an assignment statement, you get a SyntaxError . Keywords are an intrinsic part of the language and can’t be overridden.

If you ever feel the need to name one of your variables using a Python keyword, then you can append an underscore to the name of your variable:

In this example, you’re using the desired name for your variables. Because you added a final underscore to the names, Python doesn’t recognize them as keywords, so it doesn’t raise an error.

Note: Even though adding an underscore at the end of a name is an officially recommended practice , it can be confusing sometimes. Therefore, try to find an alternative name or use a synonym whenever you find yourself using this convention.

For example, you can write something like this:

In this example, using the name booking_class for your variable is way clearer and more descriptive than using class_ .

You’ll also find that you can use only a few keywords as part of the right operand in an assignment statement. Those keywords will generally define simple statements that return a value or object. These include lambda , and , or , not , True , False , None , in , and is . You can also use the for keyword when it’s part of a comprehension and the if keyword when it’s used as part of a ternary operator .

In an assignment, you can never use a compound statement as the right operand. Compound statements are those that require an indented block, such as for and while loops, conditionals, with statements, try … except blocks, and class or function definitions.

Sometimes, you need to name variables, but the desired or ideal name is already taken and used as a built-in name. If this is your case, think harder and find another name. Don’t shadow the built-in.

Shadowing built-in names can cause hard-to-identify problems in your code. A common example of this issue is using list or dict to name user-defined variables. In this case, you override the corresponding built-in names, which won’t work as expected if you use them later in your code.

Consider the following example:

The exception in this example may sound surprising. How come you can’t use list() to build a list from a call to map() that returns a generator of square numbers?

By using the name list to identify your list of numbers, you shadowed the built-in list name. Now that name points to a list object rather than the built-in class. List objects aren’t callable, so your code no longer works.

In Python, you’ll have nothing that warns against using built-in, standard-library, or even relevant third-party names to identify your own variables. Therefore, you should keep an eye out for this practice. It can be a source of hard-to-debug errors.

In programming, a constant refers to a name associated with a value that never changes during a program’s execution. Unlike other programming languages, Python doesn’t have a dedicated syntax for defining constants. This fact implies that Python doesn’t have constants in the strict sense of the word.

Python only has variables. If you need a constant in Python, then you’ll have to define a variable and guarantee that it won’t change during your code’s execution. To do that, you must avoid using that variable as the left operand in an assignment statement.

To tell other Python programmers that a given variable should be treated as a constant, you must write your variable’s name in capital letters with underscores separating the words. This naming convention has been adopted by the Python community and is a recommendation that you’ll find in the Constants section of PEP 8 .

In the following examples, you define some constants in Python:

The problem with these constants is that they’re actually variables. Nothing prevents you from changing their value during your code’s execution. So, at any time, you can do something like the following:

These assignments modify the value of two of your original constants. Python doesn’t complain about these changes, which can cause issues later in your code. As a Python developer, you must guarantee that named constants in your code remain constant.

The only way to do that is never to use named constants in an assignment statement other than the constant definition.

You’ve learned a lot about Python’s assignment operators and how to use them for writing assignment statements . With this type of statement, you can create, initialize, and update variables according to your needs. Now you have the required skills to fully manage the creation and mutation of variables in your Python code.

In this tutorial, you’ve learned how to:

• Write assignment statements using Python’s assignment operators
• Work with augmented assignments in Python
• Explore assignment variants, like assignment expression and managed attributes
• Identify illegal and dangerous assignments in Python

Learning about the Python assignment operator and how to use it in assignment statements is a fundamental skill in Python. It empowers you to write reliable and effective Python code.

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About Leodanis Pozo Ramos

Leodanis is an industrial engineer who loves Python and software development. He's a self-taught Python developer with 6+ years of experience. He's an avid technical writer with a growing number of articles published on Real Python and other sites.

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Python's Assignment Operator: Write Robust Assignments (Source Code)

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