How to Write and Use Functions in Python

Описание: In this session, you’ll learn how to write and use functions in Python to create reusable, organized, and testable code. This lesson covers function syntax, inputs and outputs, return statements, embedding conditional logic inside functions, and using lambda functions for simple operations.

You’ll learn how data analysts use functions to reduce repetition, apply logic consistently, and build cleaner Python workflows.

Key Takeaways
Understand what functions are and why they are used in Python
Learn Python function syntax and the def keyword
Learn how to define inputs and outputs
Understand return statements and how values are passed back
Learn how to use functions for testing and validation
Learn how to embed conditional logic inside functions
Understand when and how to use lambda functions
Learn how lambda functions simplify short, one-time operations

Chapters
00:00 Introduction to functions in Python
06:30 Function syntax and the def keyword
18:40 Inputs, parameters, and outputs
32:10 Return statements explained
45:30 Using functions for testing
58:20 Embedding conditional logic in functions
1:12:10 Introduction to lambda functions
1:26:40 When to use lambda vs regular functions
1:44:30 Summary and next steps

Q&A
Q: What is a function in Python?
A: A function is a reusable block of code that performs a specific task.

Q: What does the def keyword do?
A: The def keyword is used to define a function in Python.

Q: What is a return statement?
A: A return statement sends a value back from a function after it runs.

Q: What are lambda functions in Python?
A: Lambda functions are small anonymous functions used for simple, short operations.

Q: Why do data analysts use functions?
A: Functions help analysts write cleaner, reusable code and apply logic consistently.

Learning Path
This video is part of the Python Foundations for Data Analysis (Beginner Learning Path).
🔗 Watch the full playlist here:    • How to Use Conditional Logic in Python  

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