Python Keywords / Complete intro 0-35

Python Keywords

Python, often dubbed as a language that's both versatile and powerful, is celebrated for its simplicity and readability. One of the key contributors to Python's efficiency is its extensive set of keywords. In this article, we'll delve into these essential building blocks that form the backbone of Python programming. From "False" to "yield," we'll explore each keyword's role, providing you with a comprehensive understanding of how they function within the language. So, let's embark on this enlightening journey through Python keywords.

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Table of Contents

  1. Introduction to Python Keywords
  2. The Boolean Values: True and False
  3. Control Flow Keywords
    • 3.1 Conditional Statements
    • 3.2 Loops and Iteration
  4. Importing Modules with "import"
  5. Defining Functions with "def"
  6. Passing Over Opportunities with "pass"
  7. Handling the Absence of Value with "None"
  8. Breaking Free with "break"
  9. Catching Exceptions with "except"
  10. Checking Membership with "in"
  11. Raising Exceptions with "raise"
  12. Classifying Your Code with "class"
  13. Finalizing Tasks with "finally"
  14. Identity and Equality Testing with "is"
  15. Returning Values with "return"
  16. Combining Conditions with "and" and "or"
  17. Flow Control with "continue"
  18. Iterating Over Sequences with "for"
  19. Lambda Functions: Compact and Powerful
  20. Attempting Risky Business with "try"
  21. Creating Contexts with "as"
  22. Deleting Variables with "del"
  23. Going Global with "global"
  24. Negating Expressions with "not"
  25. Managing Resources with "with"
  26. The Asynchronous World with "async"
  27. Multiple Conditions with "elif"
  28. Conditional Execution with "if"
  29. Alternative Paths with "else"
  30. Yielding Results with "yield"

Introduction to Python Keywords

Python keywords are reserved words that have predefined meanings within the Python language. They serve as fundamental building blocks for writing code. Keywords cannot be used as variable names or identifiers, ensuring they maintain their unique functions.

The Boolean Values: True and False

In Python, "True" and "False" are the two Boolean values representing true and false, respectively. These are crucial for conditional statements and logical operations within your code.

Control Flow Keywords

  • Conditional Statements

Conditional statements like "if," "elif," and "else" allow you to execute different code blocks based on specific conditions. They are indispensable for decision-making in your programs.

  • Loops and Iteration

Python provides "for" and "while" loops, along with the "break" and "continue" keywords, to control the flow of your code during iterations. This enables efficient repetition and looping.

Importing Modules with "import"

The "import" keyword is used to bring external libraries and modules into your Python script, expanding its functionality and reusability.

Defining Functions with "def"

"def" is used to define functions in Python, encapsulating a block of code that can be executed when the function is called.

Passing Over Opportunities with "pass"

"pass" is a placeholder keyword used when you want to define an empty code block without causing any errors. It's often used during initial code development.

Handling the Absence of Value with "None"

The "None" keyword represents the absence of a value. It's commonly used as a placeholder or to indicate that a variable has no value assigned.

Breaking Free with "break"

The "break" keyword is employed to exit a loop prematurely, providing control over the loop's execution.

Catching Exceptions with "except"

"except" is used in conjunction with "try" to catch and handle exceptions gracefully, preventing program crashes.

Checking Membership with "in"

The "in" keyword allows you to check whether a value exists within a sequence or collection, such as lists, tuples, or strings.

Raising Exceptions with "raise"

"raise" is used to intentionally raise exceptions when certain conditions are met, facilitating error handling.

Classifying Your Code with "class"

"Class" is a fundamental keyword in object-oriented programming. It's used to define classes, which serve as blueprints for creating objects.

Finalizing Tasks with "finally"

"finally" is often used in error-handling scenarios with "try" and "except" to specify code that must be executed regardless of whether an exception occurred.

Identity and Equality Testing with "is"

The "is" keyword is used to check if two variables refer to the same object in memory. It's different from the "==" operator, which checks for equality of values.

Returning Values with "return"

"return" is used within functions to send a value back to the caller. It marks the end of a function's execution.

Combining Conditions with "and" and "or"

"and" and "or" are logical operators used to combine multiple conditions and control the flow of your code.

Flow Control with "continue"

The "continue" keyword allows you to skip the current iteration of a loop and proceed to the next one.

Iterating Over Sequences with "for"

"for" is used to iterate over sequences like lists, tuples, and strings, executing a set of statements for each item in the sequence.

Lambda Functions: Compact and Powerful

Lambda functions, created with the "lambda" keyword, are anonymous functions that can be used for quick, simple operations.

Attempting Risky Business with "try"

"try" is used to wrap code that might raise an exception. It's followed by "except" to handle any exceptions that occur.

Creating Contexts with "as"

The "as" keyword is often used with the "with" statement to create context managers, which help manage resources efficiently.

Deleting Variables with "del"

"del" is used to remove a variable from memory, freeing up resources and preventing further use of the variable.

Going Global with "global"

"global" is used to declare a global variable inside a function, allowing you to modify global variables from within a function.

Negating Expressions with "not"

The "not" keyword is a logical operator used to negate the value of a Boolean expression.

Managing Resources with "with"

The "with" statement, along with "as," is used to simplify resource management, ensuring that resources are properly acquired and released.

The Asynchronous World with "async"

"async" is used to define asynchronous functions that can be executed concurrently, improving program performance.

Multiple Conditions with "elif"

"elif" is short for "else if" and is used in conditional statements to check multiple conditions.

Conditional Execution with "if"

The "if" keyword is essential for executing code blocks based on specific conditions.

Alternative Paths with "else"

"else" provides an alternative path of execution when the conditions specified with "if" are not met.

Yielding Results with "yield"

"yield" is used in the context of generator functions, allowing you to yield values one at a time during iteration.


Python keywords are the foundation upon which you build your Python programs. Understanding their roles and functionalities is vital for becoming a proficient Python programmer. With this comprehensive guide, you've embarked on a journey that will empower you to harness the full potential of Python's keywords.


Q1: How many Python keywords are there in total? 
A1: Python has 35 keywords in total, as of the latest Python version.

Q2: Can I use Python keywords as variable names? 
A2: No, Python keywords are reserved and cannot be used as variable names.

Q3: What is the purpose of the "pass" keyword in Python? 
A3: The "pass" keyword is used as a placeholder for empty code blocks and is often used during code development.

Q4: When should I use "elif" instead of "else"? 
A4: Use "elif" when you have multiple conditions to check within an "if" statement. "Else" is used for a final alternative when none of the conditions are met.

Q5: How does "async" improve Python's performance? 
A5: The "async" keyword allows asynchronous execution of functions, reducing wait times and improving program performance.

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