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  • High Performance Python 2e: Practical Performant Programming for Humans

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High Performance Python 2e: Practical Performant Programming for Humans Paperback – Illustrated, 7 May 2020

by Micha Gorelick (Author), Ian Ozsvald (Author)
4.7 out of 5 stars (198)
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Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python's implementation.

How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more.

  • Get a better grasp of NumPy, Cython, and profilers
  • Learn how Python abstracts the underlying computer architecture
  • Use profiling to find bottlenecks in CPU time and memory usage
  • Write efficient programs by choosing appropriate data structures
  • Speed up matrix and vector computations
  • Use tools to compile Python down to machine code
  • Manage multiple I/O and computational operations concurrently
  • Convert multiprocessing code to run on local or remote clusters
  • Deploy code faster using tools like Docker

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  1. Print length
    468 pages
  2. Language
    English
  3. Publisher
    O′Reilly
  4. Publication date
    7 May 2020
  5. Dimensions
    17.15 x 3.18 x 22.86 cm
  6. ISBN-10
    1492055026
  7. ISBN-13
    978-1492055020
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Product description

About the Author

Ian is a chief data scientist and coach. He co-organizes the annualPyDataLondon conference with 700+ attendees and the associated 10,000+ member monthly meetup. He runs the established Mor Consulting Data Science consultancy in London and gives conference talks internationally, often as keynote speaker. He has 17 years ofexperience as a senior data science leader, trainer and team coach.For fun he's walked by his high-energy Springer Spaniel, surfs theCornish coast and drinks fine coffee. Past talks and articles can befound at: https: //ianozsvald.com/

Product details

  • Publisher ‏ : ‎ O′Reilly
  • Publication date ‏ : ‎ 7 May 2020
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 468 pages
  • ISBN-10 ‏ : ‎ 1492055026
  • ISBN-13 ‏ : ‎ 978-1492055020
  • Item weight ‏ : ‎ 998 g
  • Dimensions ‏ : ‎ 17.15 x 3.18 x 22.86 cm
  • Best Sellers Rank: 519,544 in Books (See Top 100 in Books)
  • Customer reviews:
    4.7 out of 5 stars (198)

About the authors

Follow authors to get new release updates, plus improved recommendations.
Previous page
  1. Ian Ozsvald

    Ian Ozsvald

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    Ian is a Chief Data Scientist and Coach, he co-organises the annual PyDataLondon conference with 700+ attendees and the associated 11,000+ member monthly meetup. He runs the established Mor Consulting Data Science consultancy in London, gives conference talks internationally often as keynote speaker and is the author of the bestselling O'Reilly book High Performance Python (2nd edition). He has 17 years of experience as a senior data science leader, trainer and team coach. For fun he's walked by his high-energy Springer Spaniel, surfs the Cornish coast and drinks fine coffee. Past talks and articles can be found at: https://ianozsvald.com/

    See more on the author's page
  2. Micha Gorelick

    Micha Gorelick

    Brief content visible, double tap to read full content.
    Full content visible, double tap to read brief content.

    Micha Gorelick was the first woman on Mars in 2033 and won the Nobel Prize in 2056 for her contributions to time travel. After seeing the deplorable uses of her new technology, she traveled back in time to 2012 and convinced herself to quit her nascent research into time travel and follow her love of data. She has since cofounded Fast Forward Labs, an applied machine learning research lab, authored multiple papers on ethical computing and helped build the inclusive community space Community Forge in Wilkinsburg. In 2019 she cofounded Probable Models, an ethical machine learning group, which made the interactive immersive play "Project Amelia". In 2020 she can be found in France helping journalists at the OCCRP find stories in data. A monument celebrating her life can be found in Central Park, 1857.

    See more on the author's page
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Customer reviews

4.7 out of 5 stars
198 global ratings

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  • Amazon Customer
    4.0 out of 5 stars I just finished this book
    Reviewed in Canada on 25 February 2022
    Format: PaperbackVerified Purchase
    It's a great book with useful information. It will take your understanding of Python's internal workings, memory allocation and how to use better performance libraries. The only down side to this book is I found some of the examples to verbose and unnecessarily complex for the point being proven. Someone who isn't into data science as much may find the example arduous.
    Report
  • Rocky
    2.0 out of 5 stars Underwhelming purchase
    Reviewed in Australia on 12 June 2025
    Format: PaperbackVerified Purchase
    The quality control can be better
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    Rocky
    2.0 out of 5 stars
    Underwhelming purchase

    Reviewed in Australia on 12 June 2025
    The quality control can be better
    Images in this review
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    Report
  • João Silva
    5.0 out of 5 stars Learning with it
    Reviewed in Spain on 29 March 2022
    Format: PaperbackVerified Purchase
    Kwik word of advice. Do not expect this to be a easy read. Buy a notebook and some pens because you will be taking notes. If you are a beginner in Python programming wait a year or two before reading this.
    Report
  • robkianta
    5.0 out of 5 stars High Performance Python
    Reviewed in Italy on 7 July 2021
    Format: PaperbackVerified Purchase
    Sono ancora sotto le 100 pagine di lettura ma gia' dall' inizio si percepisce una qualita' superiore rispetto ad altri manuali sul python. Utilissimo il sito github per scaricare i sorgenti e fare prove in locale. Pienamente soddisfatto.
    Report
  • Pen Name
    5.0 out of 5 stars Excellent book
    Reviewed in the United States on 23 January 2021
    Format: PaperbackVerified Purchase
    This book is a hidden gem. It explains in-depth methods for how to profile your Python programs, how to use different compilers for python code to gain speedups, how your code gets interpreted and how it interacts with the underlying computer architecture, how to write async code and parallel code in python, how to conserve RAM and many more topics and concepts. Each one of the concepts that this book teaches had a lot of work and effort put into by the authors. Wether it's the text or the code examples, the quality is high. The book is written in a way that you can read it in a linear fashion but it can also serve as a reference once you know where everything is. The authors of this book are very talented and experienced python developers with background in data science. In addition to showing many advanced methods for making your code fast, they put a strong emphasis on when/where to use each method and the importance of profiling and benchmarking.

    This book is probably a better read for people with an intermediate understanding of Python, operating systems and parallel programming. It uses very interesting and high quality problems as examples (warning, they are not always easy to understand). I highly recommend this book to anyone who has been using Python for a few years and wants to take their understanding of the language to the next level.
    Report
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