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Python Concurrency Jump-Start
Python ThreadPoolExecutor Jump-Start: Execute IO-Bound Tasks Asynchronously With Modern Thread Pools
How much faster could your Python code run (if you used 100s of thread workers)?
The ThreadPoolExecutor class provides modern thread pools for IO-bound tasks.
This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system).
This is the class you need to make your code run faster.
There's just one problem. No one knows about it (or how to use it well).
Introducing: "Python ThreadPoolExecutor Jump-Start". A new book designed to teach you thread pools in Python, super fast!
You will get a rapid-paced, 7-part course to get you started and make you awesome at using the ThreadPoolExecutor.
Including:
* How to create thread pools and when to use them.
* How to configure thread pools including the number of threads.
* How to execute tasks with worker threads and handle for results.
* How to execute tasks in the thread pool asynchronously.
* How to query and get results from handles on asynchronous tasks called futures.
* How to wait on and manage diverse collections of asynchronous tasks.
* How to develop a concurrent website status checker that is 5x faster than the sequential version.
Each of the 7 lessons was carefully designed to teach one critical aspect of the ThreadPoolExecutor, with explanations, code snippets and worked 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.
The ThreadPoolExecutor class provides modern thread pools for IO-bound tasks.
This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system).
This is the class you need to make your code run faster.
There's just one problem. No one knows about it (or how to use it well).
Introducing: "Python ThreadPoolExecutor Jump-Start". A new book designed to teach you thread pools in Python, super fast!
You will get a rapid-paced, 7-part course to get you started and make you awesome at using the ThreadPoolExecutor.
Including:
* How to create thread pools and when to use them.
* How to configure thread pools including the number of threads.
* How to execute tasks with worker threads and handle for results.
* How to execute tasks in the thread pool asynchronously.
* How to query and get results from handles on asynchronous tasks called futures.
* How to wait on and manage diverse collections of asynchronous tasks.
* How to develop a concurrent website status checker that is 5x faster than the sequential version.
Each of the 7 lessons was carefully designed to teach one critical aspect of the ThreadPoolExecutor, with explanations, code snippets and worked 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.
196 pages, Kindle Edition
Published August 12, 2022
3 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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