In Python programming, keywords are reserved words that have special meanings and cannot be used as identifiers (variable names, function names, etc.). Understanding these keywords and proper identifier naming rules is crucial for writing correct Python code. This interactive tool helps you explore all Python keywords visually, understand their categories and purposes, and validate identifier names in real-time. Master the keyword module concepts and avoid common naming mistakes that can cause syntax errors or unexpected behavior in your programs.
Explore Python's 35 reserved keywords organized by category. Click category filters to focus on specific types, or hover over any keyword to learn about its purpose and see usage examples.
Test your understanding by entering potential variable names, function names, or class names. The validator will check against Python keywords and naming rules, providing instant feedback and suggestions.
Understanding the purpose and context of each keyword category helps in writing better Python code and avoiding naming conflicts.
Purpose: Control the execution flow of your program
Keywords: if
, elif
, else
, for
, while
, break
, continue
, pass
Usage: These keywords create conditional statements, loops, and control execution paths in your programs.
Purpose: Define functions, classes, and manage scope
Keywords: def
, class
, return
, yield
, lambda
, global
, nonlocal
Usage: Essential for creating reusable code blocks, object-oriented programming, and managing variable scope.
Purpose: Handle errors and exceptions gracefully
Keywords: try
, except
, finally
, raise
, assert
Usage: Implement robust error handling to prevent program crashes and provide meaningful error messages.