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: [ Ссылка ].

💡 Get my FREE 7-step guide to help you consistently design great software: [ Ссылка ].

💻 ArjanCodes Blog: [ Ссылка ]

🎓 Courses:
The Software Designer Mindset: [ Ссылка ]
The Software Designer Mindset Team Packages: [ Ссылка ]
The Software Architect Mindset: Pre-register now! [ Ссылка ]
Next Level Python: Become a Python Expert: [ Ссылка ]
The 30-Day Design Challenge: [ Ссылка ]

🛒 GEAR & RECOMMENDED BOOKS: [ Ссылка ].

👍 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: [ Ссылка ]
🐦Twitter: [ Ссылка ]
🌍LinkedIn: [ Ссылка ]
🕵Facebook: [ Ссылка ]

👀 Code reviewers:
- Yoriz
- Ryan Laursen
- James Dooley
- Dale Hagglund

🎥 Video edited by Mark Bacskai: [ Ссылка ]

🔖 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!

свернуть