Skip to content

Commit c0a7dc4

Browse files
Fixed formatting
1 parent 98b9dbd commit c0a7dc4

File tree

1 file changed

+24
-24
lines changed

1 file changed

+24
-24
lines changed

README.md

Lines changed: 24 additions & 24 deletions
Original file line numberDiff line numberDiff line change
@@ -6,11 +6,11 @@
66

77
This repository provides all source code for the book:
88

9-
* *Python Multiprocessing Pool Jump-Start*: _Run Your Python Functions In Parallel With Just A Few Lines Of Code_, Jason Brownlee, 2022.
9+
* **Python Multiprocessing Pool Jump-Start**: _Run Your Python Functions In Parallel With Just A Few Lines Of Code_, Jason Brownlee, 2022.
1010

1111
You can access all Python .py files directly here:
1212

13-
* [src/])(src/)
13+
* [src/](tree/main/src)
1414

1515
You can learn more about the book here:
1616

@@ -19,25 +19,25 @@ You can learn more about the book here:
1919

2020
Blurb
2121

22-
How much faster can your python code run (if it used all CPU cores)?
23-
24-
The multiprocessing.Pool class provides easy-to-use process-based concurrency.
25-
26-
This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system).
27-
28-
This is the class you need to use to make your code run faster.
29-
30-
There's just one problem. No one knows about it (or how to use it well).
31-
32-
Introducing: "Python Multiprocessing Pool Jump-Start". A new book designed to teach you multiprocessing pools in Python, super fast!
33-
34-
You will get a fast-paced, 7-part course to get you started and make you awesome at using the multiprocessing pool.
35-
36-
Each of the 7 lessons was carefully designed to teach one critical aspect of the multiprocessing pool, with explanations, code snippets and worked examples.
37-
38-
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.
39-
40-
Stop copy-pasting code from outdated blog posts.
41-
Stop trying to parse messy StackOverflow answers.
42-
43-
Learn Python concurrency correctly, step-by-step.
22+
> How much faster can your python code run (if it used all CPU cores)?
23+
>
24+
> The multiprocessing.Pool class provides easy-to-use process-based concurrency.
25+
>
26+
> This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system).
27+
>
28+
> This is the class you need to use to make your code run faster.
29+
>
30+
> There's just one problem. No one knows about it (or how to use it well).
31+
>
32+
> Introducing: "Python Multiprocessing Pool Jump-Start". A new book designed to teach you multiprocessing pools in Python, super fast!
33+
>
34+
> You will get a fast-paced, 7-part course to get you started and make you awesome at using the multiprocessing pool.
35+
>
36+
> Each of the 7 lessons was carefully designed to teach one critical aspect of the multiprocessing pool, with explanations, code snippets and worked examples.
37+
>
38+
> 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.
39+
>
40+
> Stop copy-pasting code from outdated blog posts.
41+
> Stop trying to parse messy StackOverflow answers.
42+
>
43+
> Learn Python concurrency correctly, step-by-step.

0 commit comments

Comments
 (0)