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Copy file name to clipboardExpand all lines: README.md
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This repository provides all source code for the book:
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**Python Multiprocessing Pool Jump-Start*: _Run Your Python Functions In Parallel With Just A Few Lines Of Code_, Jason Brownlee, 2022.
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***Python Multiprocessing Pool Jump-Start**: _Run Your Python Functions In Parallel With Just A Few Lines Of Code_, Jason Brownlee, 2022.
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You can access all Python .py files directly here:
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*[src/])(src/)
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*[src/](tree/main/src)
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You can learn more about the book here:
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Blurb
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How much faster can your python code run (if it used all CPU cores)?
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The multiprocessing.Pool class provides easy-to-use process-based concurrency.
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This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system).
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This is the class you need to use to make your code run faster.
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There's just one problem. No one knows about it (or how to use it well).
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Introducing: "Python Multiprocessing Pool Jump-Start". A new book designed to teach you multiprocessing pools in Python, super fast!
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You will get a fast-paced, 7-part course to get you started and make you awesome at using the multiprocessing pool.
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Each of the 7 lessons was carefully designed to teach one critical aspect of the multiprocessing pool, with explanations, code snippets and worked examples.
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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.
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Stop copy-pasting code from outdated blog posts.
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Stop trying to parse messy StackOverflow answers.
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Learn Python concurrency correctly, step-by-step.
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> How much faster can your python code run (if it used all CPU cores)?
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>
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> The multiprocessing.Pool class provides easy-to-use process-based concurrency.
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>
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> This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system).
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>
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> This is the class you need to use to make your code run faster.
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+
>
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> There's just one problem. No one knows about it (or how to use it well).
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>
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> Introducing: "Python Multiprocessing Pool Jump-Start". A new book designed to teach you multiprocessing pools in Python, super fast!
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>
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> You will get a fast-paced, 7-part course to get you started and make you awesome at using the multiprocessing pool.
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>
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> Each of the 7 lessons was carefully designed to teach one critical aspect of the multiprocessing pool, with explanations, code snippets and worked examples.
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>
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> 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.
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>
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> Stop copy-pasting code from outdated blog posts.
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> Stop trying to parse messy StackOverflow answers.
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