Jason@SuperFastPython.com

No more single-tasking and idle CPUs!

Concurrent NumPy in Python

Faster NumPy With BLAS, Python Threads, and Multiprocessing

Get the book in PDF and EPUB formats.

Includes all sample Python code files and templates.

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Discover matrix multiplication that is 2.7x faster.

Discover array initialization that is up to 3.2x faster.

Discover sharing arrays that is up to 516.91x faster.

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100% Guarantee

If you're not in love with this product, I will refund your entire order.

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100% Guarantee!

If you're not in love with this product, I will refund your entire order.

Concurrent NumPy in Python has been an invaluable tool for me. The clarity with which you present concurrent programming and the effectiveness of the practical examples have significantly improved my understanding of the topic. Without a doubt, it's an outstanding work that has elevated my Python skills to a new level.

Paul Vasquez
Python Software Engineer

What Our Customers Say

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Concurrent NumPy in Python has been an invaluable tool for me. The clarity with which you present concurrent programming and the effectiveness of the practical examples have significantly improved my understanding of the topic. Without a doubt, it's an outstanding work that has elevated my Python skills to a new level.

Paul Vasquez

Python Software Engineer

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Add Python Benchmarking

Need more help? Add the "Python Benchmarking" book to your order (epub and pdf formats, 25 chapters, 259 pages, 56 code files). Discover how to use time and timeit to benchmark your NumPy code.
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