Your Python Code Needs Generators

Talk to the internet when you need answers. Talk to Recall when you need your answers. 🔗 https://www.recall.it/?t=arjan   Use code ARJAN25 for 25% off, valid until 1 June 2026. Do the Ports & Adapters quiz here: https://app.getrecall.ai/challenge/e24770a5-1aab-5d6c-b2a8-dbee424c22a4 Most Python developers think generators are just about saving memory. That’s 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 with async streams. 🔥 GitHub Repository: https://git.arjan.codes/2026/generators. 🎓 ArjanCodes Courses: https://www.arjancodes.com/courses. 💬 Join my Discord server: https://discord.arjan.codes. ⌨️ Keyboard I’m using: https://amzn.to/49YM97v. 🔖 Chapters: 0:00 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 — 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 #arjancodes #softwaredesign #python