Python Keywords - The Coding College

Python keywords are reserved words that hold special significance in the language. They form the backbone of Python syntax, enabling programmers to write clear and concise code. At The Coding College, we aim to provide an in-depth understanding of Python concepts to help learners excel. In this guide, you’ll learn about Python keywords, their meanings, and how to use them effectively.

What Are Python Keywords?

Python keywords are predefined words that are part of the Python syntax. They serve specific purposes and cannot be used as variable names, function names, or identifiers.

Key Characteristics of Python Keywords

Reserved: Cannot be used for any other purpose.
Case-Sensitive: Must be written in lowercase (e.g., if, else).
Essential: Form the basic building blocks of Python programs.

List of Python Keywords

Here is the complete list of Python keywords as of Python 3.10:

Keyword	Description
`False`	Boolean value representing false.
`True`	Boolean value representing true.
`None`	Represents a null value or no value.
`and`	Logical AND operator.
`or`	Logical OR operator.
`not`	Logical NOT operator.
`if`	Starts a conditional block.
`elif`	Else-if condition.
`else`	Ends a conditional block.
`for`	Starts a for loop.
`while`	Starts a while loop.
`break`	Exits the current loop.
`continue`	Skips the rest of the loop iteration.
`pass`	A null statement; does nothing.
`class`	Used to define a class.
`def`	Used to define a function.
`return`	Exits a function and returns a value.
`yield`	Used in generator functions to return values.
`try`	Starts a block for exception handling.
`except`	Handles exceptions.
`finally`	Executes code after `try` block.
`raise`	Raises an exception.
`import`	Imports a module.
`from`	Imports specific parts of a module.
`as`	Creates an alias for a module.
`with`	Simplifies exception handling for resources.
`lambda`	Defines an anonymous function.
`global`	Declares a global variable.
`nonlocal`	Refers to variables in the nearest enclosing scope.
`is`	Tests for object identity.
`in`	Tests for membership.
`assert`	Used for debugging; checks a condition.
`del`	Deletes objects.
`await`	Used in asynchronous programming.
`async`	Defines an asynchronous function.
`None`	Represents a null value.

How to Use Python Keywords

Let’s explore some practical examples.

1. Conditional Keywords:

if True:
    print("This is true!")
else:
    print("This is false.")

2. Looping Keywords:

for i in range(5):
    if i == 3:
        break
    print(i)

3. Exception Handling Keywords:

try:
    num = int(input("Enter a number: "))
except ValueError:
    print("That's not a number!")
finally:
    print("End of try-except block.")

4. Function Definition Keywords:

def greet(name):
    return f"Hello, {name}!"

Reserved vs Non-Reserved Words

Reserved words are keywords and cannot be redefined.
Non-reserved words can be used for identifiers or variable names.

Example of incorrect usage:

def = 10  # This will raise a syntax error.

Practical Tips

Avoid Conflicts: Don’t use keywords as identifiers.
Stay Updated: Check for new keywords in Python releases.
Code Clarity: Use keywords properly to enhance readability.

Benefits of Learning Python Keywords

Stronger Foundation: Grasping keywords builds a solid programming base.
Fewer Errors: Understanding reserved words avoids syntax issues.
Improved Efficiency: Enables writing concise and effective code.

Learn More at The Coding College

Master Python keywords and take your programming skills to new heights. Explore more tutorials and resources on our website to enhance your Python expertise!