Python Concurrency with asyncio by Matthew Fowler

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

In Python Concurrency with asyncio you will learn:

• 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

About the Book: Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio 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. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

About the Technology: 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.