Python Concurrency with asyncio, Video Edition

Python Concurrency with asyncio, Video Edition

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 9h 15m | 1.46 GB

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library.

• Use coroutines and tasks alongside async/await syntax to run code concurrently
• Build web APIs and make concurrency web requests with aiohttp
• Run thousands of SQL queries concurrently
• Create a map-reduce job that can process gigabytes of data concurrently
• Use threading with asyncio to mix blocking code with asyncio code

Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio, Video Edition teaches you how to boost Python’s performance by applying a variety of concurrency techniques. You’ll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio’s APIs to run multiple web requests and database queries simultaneously. The video tutorial covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

It’s easy to overload standard Python and watch your programs slow to a crawl. The asyncio library was built to solve these problems by making it easy to divide and schedule tasks. It seamlessly handles multiple operations concurrently, leading to apps that are lightning fast and scalable.

Python Concurrency with asyncio, Video Edition introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concurrency topics are broken down into simple flowcharts that make it easy to see how your tasks are running. You’ll learn how to overcome the limitations of Python using asyncio to speed up slow web servers and microservices. You’ll even combine asyncio with traditional multiprocessing techniques for huge improvements to performance.