Parallel Loops in Python

Are your loops slow?

Why not run your loops in parallel (using all CPUs)?

Introducing:

Parallel Loops in Python

Discover this new Ebook that shows you how to execute Python loops in parallel using all CPU cores.

Update: normally $7, get now for only $1

Table of Contents

1. Introduction
2. Parallel Loop with the Thread Class
3. Parallel Loop with the ThreadPool Class
4. Parallel Loop with the ThreadPoolExecutor Class
5. Parallel Loop with the Process Class
6. Parallel Loop with the Pool Class
7. Parallel Loop with the ProcessPoolExecutor Class
8. Thank-You

What you get:

You will download the book and all source code.

1. Ebook (PDF and EPUB)
2. Source Code (6 .py files)

You Get Code Templates

The code examples include parallel loops using each class.

Code examples work on Windows, macOS, and Linux.

How to Buy

1. Click the "I want this!" button (in the upper right)
2. Choose Credit Card or PayPal and complete the order form then click the "Pay" button.
3. You will be redirected to a webpage where you can download your bundle immediately (you will also get an email with the download link, just in case you need it).

About the Author

Jason Brownlee, Ph.D. helps Python developers bring modern concurrency methods to their projects with hands-on tutorials.

Jason loves Python Concurrency. It's all he does. It’s his main thing.

Jason has:

• Read all the books on Python concurrency.
• Used all of the Python concurrency APIs in the standard library.
• Written 500+ tutorials and 12+ books on Python concurrency.

Learn more at SuperFastPython.com

Jason is a software engineer and research scientist with a background in artificial intelligence and high-performance computing. He has authored more than 20 technical books on machine learning and has built, operated, and exited online businesses.

See his linkedin profile here:

• Jason Brownlee on LinkedIn (follow him!)

Any Questions?

Hi, Jason here, do you have any questions?

Contact me directly at any time about this product or Python concurrency generally. I'm here to help as best I can.

You can send an email directly to my inbox via:

• Jason@SuperFastPython.com