Confused by yield and how Python generators work? In this beginner-friendly tutorial, we break it all down with crystal-clear examples — step by step.
You’ll learn:
✅ What Python generators are
✅ Why we use yield instead of return
✅ How generators save memory
✅ How to build and use them with real-world cases like:
Reading large files
Paginated data
Infinite loops
Generator expressions
🔍 What You'll Learn in This Video:
What is a generator function?
How does yield work internally?
Difference between generators and regular functions
For loops with generators
Real use cases you’ll actually use in projects
🧠 Who This Is For:
Python beginners or intermediates
Anyone confused by yield
Developers dealing with large data, streams, or pipelines
Learners transitioning from basic functions to advanced patterns
📂 Timestamps:
0:00 – Intro: Why use generators?
0:16 – Regular function vs generator (Yield explained step by step)
1:31 – Looping with generators
2:47 – Paginated data with yield
4:18 – Wrap-up
SOURCE CODE:
1) Regular Function vs Generator Function - https://github.com/bhumikapandey1992/...
2) Using a Loop with Generator - https://github.com/bhumikapandey1992/...
3) Paginated Data - https://github.com/bhumikapandey1992/...
💬 Drop your questions in the comments!
👍 Like the video if it helped
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Recommended books :
1) https://amzn.to/4o4TxmP
2) https://amzn.to/46Q8XoA
3) https://amzn.to/3IDPTjq
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