Asynchronous Python: Boost Performance and Efficiency for Real-World Apps

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Ronnie Sheer

1:03:44

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[1] Introduction

[1] Supercharging Python async.mp4

00:57

[2] What you should know.mp4

00:26

[3] Setting up locally or using Gitpod.mp4

03:41

[2] 1. Understanding Asynchronous Programs

[1] What makes programs slow and when async execution can help.mp4

04:07

[2] How async works (asyncawait).mp4

01:45

[3] How async Python differs from other languages.mp4

02:27

[4] Async sleep and gather.mp4

05:52

[5] Challenge Sleep five.mp4

01:32

[6] Solution Sleep five.mp4

01:53

[3] 2. Async Web Clients with aiohttp

[1] Supercharging requests.mp4

06:51

[2] Async WebSocket client.mp4

05:39

[3] Challenge Write the response to a JSON file.mp4

02:01

[4] Solution Write the response to a JSON file.mp4

02:51

[4] 3. Storage and Caching with aioredis

[1] How Redis shines in modern applications.mp4

03:55

[2] Getting started with aioredis.mp4

04:05

[3] Challenge Redis chat.mp4

00:33

[4] Solution Redis chat.mp4

00:38

[5] 4. Modern Servers with ASGI

[1] What is ASGI.mp4

01:33

[2] ASGI landscape.mp4

01:35

[3] Chat app using Quart.mp4

04:20

[4] Async Django and Django Channels at a glance.mp4

01:06

[5] Challenge Store feed data in Redis.mp4

01:46

[6] Solution Store feed data in Redis.mp4

02:54

[6] Conclusion

[1] Next steps.mp4

01:17

Description

If you were cooking a multicourse meal, would you prep one thing at a time? Put bread in the oven, wait. Warm the soup on the stove, wait. Then the main course. Wouldn’t it be more efficient to spend time prepping other food instead of waiting on tasks that don’t need your immediate attention? In the same way that having multiple things happen at the same time leads to faster meal prep, having multiple things happen in Python—or using an asynchronous approach—can be leveraged to boost application performance and make your Python programs extremely efficient. In this course, Ronnie Sheer gives you the tools to use async Python to solve real-world problems, gain familiarity with the async Python ecosystem, complete challenges with working examples, and become a more attractive candidate for engineering positions. If you’re an experienced Python user looking to take async Python from theory to practice, check out this hands-on course.

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Python

Ronnie Sheer

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Experienced full stack developer focusing on scalable services using Python and Javascript. A seasoned public speaker, with a passion for teaching and mentoring in tech.

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