English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 1h 03m | 191 MB
Learn how to speed up your Python 3 programs using concurrency and the new asyncio module in the standard library.
First, you’ll explore the key terms of parallel programming. Next, you’ll see step-by-step how to leverage concurrency and parallelism in your own programs, all the way to building a complete HTTP downloader example app using asyncio and aiohttp.
Table of Contents
1 Python asyncio Course Intro and Overview
2 A Real-World asyncio Example
3 Making Parallel HTTP Requests With aiohttp
4 Python asyncio Summary & Recap
5 What Is Concurrency
6 What Is asyncio
7 asyncio Sample Project Setup
8 What Are Python Generators
9 What Are Python Coroutines
10 asyncio.sleep() and Writing Your First Coroutine
11 The asyncio Event Loop
12 Asynchronous Generators in Python
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