Welcome back to AI with Anjani! 🚀
In our previous class, we learned the most important Python data structures — List, Tuple, Set and Dictionary.
In this Python tutorial for beginners, we take the next step and learn Python Functions from the basics to functional programming concepts.
In this video, you will learn:
✅ What is a Function?
✅ Why do we use Functions?
✅ Creating and calling Functions
✅ Parameters and Arguments
✅ Multiple Parameters
✅ return statement
✅ print() vs return
✅ Returning multiple values
✅ Default Arguments
✅ Keyword Arguments
✅ *args
✅ **kwargs
✅ Variable Scope
✅ Local and Global Variables
✅ Lambda Functions
✅ map()
✅ filter()
✅ reduce()
✅ Practical examples
✅ Real-world data processing examples
✅ Coding challenges
We will also combine lambda, map(), filter() and reduce() to build a simple data-processing pipeline.
Example:
Data
→ filter()
→ map()
→ reduce()
→ Result
🚀 PYTHON → AI ENGINEER ROADMAP
Python Basics
→ Data Structures
→ Functions
→ OOP
→ NumPy
→ Pandas
→ Machine Learning
→ Deep Learning
→ Generative AI
→ LLMs
→ RAG
→ AI Agents
→ Agentic AI
→ MCP
→ AI Engineering
💡 Don't just watch the video.
Pause the video, write the code yourself, predict the output, run it, and then modify the code to see what happens.
This is Part #5 of the Python learning journey on AI with Anjani.
If you're learning Python from zero and want to continue toward AI Engineering, subscribe to AI with Anjani. 🚀
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