Master Python Generators in 10 Minutes | yield, next(), send(), itertoolsOption | CodeToAGI EP27
🚀 Python Generators & Iterators Explained!
Most Python developers use lists everywhere and waste memory without realizing it.
In this episode of the CodeToAGI Python Series, you'll learn how Python generators work, how the yield keyword pauses and resumes execution, and why generators can use hundreds of times less memory than lists.
🔥 What You'll Learn:
✅ Generator Expressions vs List Comprehensions
✅ yield Keyword Explained
✅ next() Function
✅ Iterator Protocol (__iter__ & __next__)
✅ send() and close()
✅ yield from
✅ itertools Module
✅ Lazy Evaluation
✅ Memory Optimization Techniques
✅ Real-World Lazy CSV Pipeline Project
⏰ Chapters
00:00 Intro
00:30 Lists vs Generators
02:00 yield Explained
03:30 Iterator Protocol
05:00 send() & close()
06:30 yield from
07:30 itertools
08:30 Lazy CSV Pipeline Project
10:00 Challenge & Summary
💻 Challenge:
Build a Fibonacci Generator and compare its memory usage against a list.
👇 Post your solution in the comments.
I personally read and reply to comments.
📚 Complete Python-to-Agentic-AI Series:
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