Python Functions Explained 🔥 | Arguments, Returns, Scope & More | Lecture #6

🔴 PYTHON FUNCTIONS — PART 1 | LECTURE 6 | LIVE CODING Welcome back to the Python for Data Science series! Today we are starting a new module focused on one of the most important concepts in Python programming — FUNCTIONS. Functions help us write reusable, organized, readable, and maintainable code. This is PART 1 of the Python Functions module. In this session, we'll build the fundamentals step by step and understand how Python functions work internally through practical coding examples. 📚 TODAY'S TOPICS: 1️⃣ DEFINING & CALLING FUNCTIONS • What is a function? • Why do we use functions? • Defining a function with def • Calling a function • Function execution flow • Reusable code 2️⃣ PARAMETERS & ARGUMENTS • Parameters vs arguments • Positional arguments • Keyword arguments • Default arguments • Multiple parameters • Passing different types of values 3️⃣ POSITIONAL-ONLY & KEYWORD-ONLY PARAMETERS • Positional-only parameters • The / syntax • Keyword-only parameters • The * syntax • Combining different parameter types 4️⃣ *args & **kwargs • Variable-length arguments • *args • **kwargs • When to use them • Practical examples • Combining regular parameters with *args and **kwargs 5️⃣ RETURN VALUES • return statement • Returning a single value • Returning multiple values • Returning different data types • Difference between print() and return 6️⃣ VARIABLE SCOPE • Local scope • Global scope • global keyword • nonlocal keyword • Nested functions • Understanding where Python looks for variables 💻 LIVE CODING APPROACH This will be a practical coding session. We'll write functions, execute them, predict outputs, make mistakes, debug them, and understand why the code behaves the way it does. 🎯 WHO SHOULD JOIN? • Python beginners • College students • Freshers • Aspiring software developers • Data science learners • AI/ML beginners • Anyone learning Python from scratch 📌 MODULE STRUCTURE: PART 1 — TODAY Functions Parameters & Arguments Default & Keyword Arguments Positional-only & Keyword-only Parameters *args & **kwargs Return Values Scope PART 2 — NEXT LECTURE Lambda Functions map() filter() reduce() Recursion Docstrings Type Hints Clean Function Design Functional Programming for Data Processing 🔔 Subscribe for the next lecture. 💬 QUESTION OF THE DAY: What is the difference between a parameter and an argument? Write your answer in the live chat before we explain it! #Python #PythonProgramming #LiveCoding