Next-Level Concurrent Programming In Python With Asyncio

💡 Get my FREE 7-step guide to help you consistently design great software: If your software interacts with external APIs, you need to know concurrent programming. I show you how it works in Python and then take it to the next level by showing advanced concurrent features such as using async with generators and comprehensions, show a simple way to turn blocking code into concurrent code, and then I cover how concurrency affects software design and architecture. The code I worked on in this episode is available here: 🎓 Sign up to Brilliant now and get 20% off the annual subscription: 👍 If you enjoyed this content, give this video a like. If you want to watch more of my upcoming videos, consider subscribing to my channel! 💬 Discord: 🐦Twitter: 🌍LinkedIn: 🕵Facebook: 👀 Code reviewers: - Yoriz - Ryan Laursen - James Dooley - Dale Hagglund 🎥 Video edited by Mark Bacskai: 🔖 Chapters: 0:00 Intro 1:10 Concurrency vs parallelism 2:33 The Global Interpreter Lock 3:06 The benefits of concurrency 4:36 Recap of asyncio in Python 7:13 Using gather to send out multiple requests 9:44 How async and await are integrated into Python’s syntax 11:54 Turn blocking code into concurrent code 16:04 Async http requests 16:53 Aiohttp 17:50 Concurrency, design patterns, and architecture #arjancodes #softwaredesign #python DISCLAIMER - The links in this description might be affiliate links. If you purchase a product or service through one of those links, I may receive a small commission. There is no additional charge to you. Thanks for supporting my channel so I can continue to provide you with free content each week!