Python Concurrency with asyncio
Author: Matthew Fowler(Author)
Publisher finelybook 出版社: Manning (March 1, 2022)
Language 语言: English
Print Length 页数: 376 pages
ISBN-10: 1617298662
ISBN-13: 9781617298660
Book Description
By finelybook
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 gigaAuthor: tes 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 teaches you how to boost Python’s performance Author: 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 book 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. Th e asyncio library was built to solve these problems Author: 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 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.
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