Stop Repeating Yourself with Python Functions | Day 6: Just Enough Python for AI

Stop Repeating Yourself with Python Functions | Day 6: Just Enough Python for AI

It's time to write cleaner, more professional code. This lesson introduces the "Don't Repeat Yourself" (DRY) principle using Python Functions. You'll learn how to bundle your code into reusable blocks that make your projects more organized, efficient, and easier to debug.

In this video, we'll cover:
► How to define and call your own custom functions.
► Understanding arguments, parameters, and scope.
► Using `return` statements to get output from your functions.

📂 Get the code for this lesson: https://github.com/satish-r-singh/Jus...
📂 Get all the code for the entire course: https://github.com/satish-r-singh/Jus...
▶️ Watch the full 14-Day Challenge playlist:    • Just Enough Python for AI & Data Science (...  

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🐍 JUST ENOUGH PYTHON FOR AI & DATA SCIENCE (2025): THE 14-DAY CHALLENGE

This video is part of a complete, free 14-day course. Follow the full curriculum below!

🔹 Day 1: Course Overview & Getting Started (You are here)
🔹 Day 2: Python's Core Building Blocks (Variables & Data Types)
🔹 Day 3: How to Control Your Code with Loops & Conditionals
🔹 Day 4: Mastering Python Lists & Tuples
🔹 Day 5: The Perfect Guide to Python Dictionaries & Sets
► Day 6: Stop Repeating Yourself with Python Functions (You are here)
🔹 Day 7: Intro to NumPy: Python's Most Powerful Array Library
🔹 Day 8: Blazing Fast Math with NumPy Arrays
🔹 Day 9: Intro to Pandas DataFrames
🔹 Day 10: The #1 Skill in Data Science: Cleaning Data with Pandas
🔹 Day 11: Unlock Data Insights with Pandas GroupBy & Aggregation
🔹 Day 12: Create Your First Data Visualizations with Matplotlib
🔹 Day 13: Make Your Data Beautiful with Seaborn
🔹 Day 14 (Part 1): Build Your First Machine Learning Model
🔹 Day 14 (Part 2): Code a Real GenAI Chatbot!

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