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Python Concurrency Jump-Start
Python Asyncio Jump-Start: Asynchronous Programming And Non-Blocking I/O With Coroutines
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, the first that, 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.
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, the first that, 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.
184 pages, Kindle Edition
Published October 28, 2022
1 person is currently reading
8 people want to read
About the author
Jason Brownlee
47 books76 followersJason Brownlee, Ph.D. trained and worked as a research scientist and software engineer for many years (e.g. enterprise, R&D, and scientific computing), and is known online for his work on Computational Intelligence (e.g. Clever Algorithms), Machine Learning and Deep Learning (e.g. Machine Learning Mastery, sold in 2021) and Python Concurrency (e.g. Super Fast Python).
Jason writes fiction under the pseudonym J.D. Brownlee: https://www.goodreads.com/jdbrownlee
Jason writes fiction under the pseudonym J.D. Brownlee: https://www.goodreads.com/jdbrownlee
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