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Keywords & Identifiers

Last Updated: January 3, 2026

6 min read

Whether you’re defining a variable, creating a function, or structuring control flows, knowing how to use keywords and identifiers effectively is crucial.

Let’s dive into what they are, why they matter, and how you can use them effectively in your Python programming.

What Are Keywords?

Keywords are predefined words in Python that have special meanings. They are part of the syntax and cannot be used as identifiers (like variable names or function names).

This means you can't use keywords to name your variables or functions because they are reserved for specific functions built into the language.

List of Python Keywords

As of Python 3.10, there are 35 keywords. Here’s a quick rundown:

This prints the following keywords:

By avoiding these keywords for naming your variables or functions, you prevent potential syntax errors and confusion.

Understanding Identifiers

Identifiers are the names you give to variables, functions, classes, and other objects in Python. They are how you refer to different elements in your code. Here are the rules you need to follow when creating identifiers:

  • Characters Allowed: An identifier can consist of letters (A-Z, a-z), digits (0-9), and underscores (_), but it cannot start with a digit.
  • Case Sensitivity: Identifiers are case-sensitive, meaning myVariable and myvariable are considered different identifiers.
  • No Special Characters: Special characters like @, $, and % are not allowed.
  • No Length Limit: There's no formal limit on the length of an identifier, but it's best to keep them reasonably short and descriptive.

Good vs. Bad Identifiers

To help you grasp the distinction, here are some examples:

Using meaningful identifiers can make your code more readable. For instance, total_amount is clearer than just ta.

Best Practices for Identifiers

When naming your identifiers, keeping best practices in mind can significantly enhance your code's maintainability and readability.

Use Descriptive Names

Descriptive names help others (and your future self) understand the purpose of a variable or function at a glance.

Use Snake Case for Variables

In Python, the convention is to use snake_case for variable names. This means using lowercase letters and underscores to separate words.

Classes Use CamelCase

For class names, the convention is to use CamelCase, where each word starts with a capital letter.

Avoid Single Character Names

While single-character names can be acceptable in certain contexts (like loop counters), they should be avoided for general use.

Keywords in Action: Control Flow Examples

Let’s look at how keywords play a role in control flow, a vital aspect of programming logic. Keywords like if, for, and while help control the flow of your program.

If Statements

The if keyword allows you to execute code conditionally. Here’s a simple example:

For Loops

The for keyword is used for looping over a sequence. Here’s a practical example:

While Loops

With the while keyword, you can create loops that run until a certain condition is met:

These control structures are essential for creating dynamic programs. They allow you to dictate how your code responds to different situations.

Common Mistakes with Keywords and Identifiers

Even experienced developers can stumble when using keywords and identifiers. Let’s highlight some common pitfalls.

Using Keywords as Identifiers

This is a straightforward error, but it can lead to syntax errors. For example:

Always check that your identifiers are not keywords.

Misunderstanding Case Sensitivity

Because Python is case-sensitive, you might accidentally create duplicate identifiers. Consider the following:

To avoid confusion, maintain a consistent naming convention throughout your code.

Unintentional Shadowing

Shadowing occurs when you use a variable name that hides another variable of the same name in an outer scope. This can lead to unexpected behavior:

Be cautious with variable names, especially in nested scopes.

Conclusion

Keywords and identifiers are the building blocks of your Python code. By understanding how to use them effectively, you lay the groundwork for writing clean, maintainable, and efficient code.

As you continue your programming journey, remember to adhere to naming conventions, avoid keywords for your identifiers, and be mindful of Python’s case sensitivity.

By doing so, you’ll not only write better code but also enhance collaboration with others in your projects. Happy coding!