Python Asyncio Jump-Start: Asynchronous Programming And Non-Blocking I/O With Coroutines
- Length: 182 pages
- Edition: 1
- Language: English
- Publisher: Independently published
- Publication Date: 2022-10-29
- ISBN-10: B0BKRYNR7V
- ISBN-13: 9798361197620
- Sales Rank: #2445895 (See Top 100 Books)
Asyncio is an exciting new addition to Python
It allows regular Python programs to be developed using the asynchronous programming paradigm.
It includes changes to the language to support coroutines as first-class objects, such as the async def and await expressions, and the lesser discussed async for and async with expressions for asynchronous iterators and context managers respectively.
Asyncio is the way to rapidly develop scalable Python programs capable of tens or hundreds of thousands of concurrent tasks.
Developing concurrent programs using coroutines and the asyncio module API can be very challenging for beginners, especially those new to asynchronous programming.
Introducing: “Python Asyncio Jump-Start”. A new book designed to teach you asyncio in Python, super fast!
You will get a rapid-paced, 7-part course focused on getting you started and make you awesome at using asyncio.
Including:
- How to define, schedule, and execute asynchronous tasks as coroutines.
- How to manage groups of asynchronous tasks, including waiting for all tasks to complete, waiting for the first task to complete, or the first task to fail.
- How to define, create, and use asynchronous iterators, generators, and context manages
- How to share data between coroutines with queues and how to synchronize coroutines to make code coroutine-safe.
- How to run commands as subprocesses and how to implement asynchronous socket programming with streams.
- How to develop a port scanner that is nearly 1,000 times faster than the sequential version.
Each of the 7 lessons was carefully designed to teach one critical aspect of asyncio, with explanations, code snippets, and complete examples.
Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper.
Stop copy-pasting code from StackOverflow answers.
Learn Python concurrency correctly, step-by-step.
