Your Python Code Needs Generators
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Most Python developers think generators are just about saving memory. Thatโs only a small part of the story.
In this video, I show how generators give you control over when work happens, and how you can use them to build powerful data pipelines, handle backpressure, enable two-way communication, and even work wโฆ
Watch on YouTube โ
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Chapters (10)
Intro
0:44
What are Generators?
1:44
Step 1: From Strings to Structured Data
6:36
Sponsored Section (recall.it)
9:08
Step 2: Pipelines with Function Composition
13:15
Step 3: Backpressure โ Why This Scales
15:08
Step 4: Two-Way Communication with send()
17:52
Bonus: Generators Can Return a Value
19:08
Step 5: Async Generators
22:58
Final Thoughts
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