Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer – no Kindle device required. Learn more
Read instantly on your browser with Kindle Cloud Reader.
Using your mobile phone camera, scan the code below and download the Kindle app.
Enter your mobile phone or email address
By pressing ‘Send link’, you agree to Amazon's Conditions of Use.
You consent to receive an automated text message from or on behalf of Amazon about the Kindle App at your mobile number above. Consent is not a condition of any purchase. Message and data rates may apply.
High Performance Python: Practical Performant Programming for Humans 2nd Edition, Kindle Edition
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
About the Author
Micha Gorelick cofounded Fast Forward Labs as resident mad scientist. The company was acquired by Cloudera in 2017. He works on many issues from machine learning to performant stream algorithms.
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/--This text refers to the paperback edition.
- ASIN : B087YTVL8F
- Publisher : O'Reilly Media; 2 edition (30 April 2020)
- Language : English
- File size : 12246 KB
- Simultaneous device usage : Unlimited
- Text-to-Speech : Enabled
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Not Enabled
- Print length : 470 pages
- Best Sellers Rank: 444,778 in Kindle Store (See Top 100 in Kindle Store)
- Customer Reviews:
About the authors
Review this product
Top review from Australia
There was a problem filtering reviews right now. Please try again later.
Well done, Gorelick & Ozsvald. Looking forward for similar references and editions.
Top reviews from other countries
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.
Not so good: The book is probably twice as long as it should be. There's a ton of filler in here, like the odd opinion notes about hard it is moving code to a cluster, or using multiprocessing. The final section appears to be random thoughts about Python code, and has nothing to do with performance.
Also, the writing style is just simply weird. I was reading along about some topic, and all of a sudden the text says, "Ian doesn't like to have his laptop set up so that ...". I thought, "Who is Ian?, and why would I care about his opinion?" Well, it turns out he's one of the two authors. This approach is used multiple times, and boy is it jarring - such a weird way of writing, especially in a technical book.
That said, if you can wade through the strange writing and ignore all the useless fluff, there is some good content in this.