What you would learn in Async Python Foundations: Applied Concepts course?
Would you prefer to prepare one dish at a time if you were making a multicourse meal? Bake the bread, then wait. Heat the soup over the stove and then wait. Next, prepare the main dish. It would be much more efficient to spend your time prepping food than waiting for tasks that are not urgent. Like how multiple tasks can be done at once to speed up meal prep, multiple events in Python (or an asynchronous approach) can help increase application performance and optimize your Python programs. Ronnie Sheer will teach you how to use async Python in real-world situations, learn about the ecosystem and work through challenges. This course will also help you become more appealing for engineering jobs. This course is for experienced Python users who want to learn async Python.
Introduction 1 Supercharging Python async 2 What you should know 3 Setting up locally or using Gitpod
1. Understanding Asynchronous Programs 4 What makes programs slow, and when async execution can help 5 How async works (async-await) 6 How async Python differs from other languages 7 Async sleep and gather 8 Challenge Sleep five 9 Solution Sleep five
2. Async Web Clients with aiohttp 10 Supercharging requests 11 Async WebSocket client 12 Challenge Write the response to a JSON file 13 Solution Write the response to a JSON file
3. Storage and Caching with aioredis 14 How Redis shines in modern applications 15 Getting started with aioredis 16 Challenge Redis chat 17 Solution Redis chat
4. Modern Servers with ASGI 18 What is ASGI 19 ASGI landscape 20 Chat app using Quart 21 Async Django and Django Channels at a glance 22 Challenge Store feed data in Redis 23 Solution Store feed data in Redis
Conclusion 24 Next steps
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