High Performance Python
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High Performance Python

4.7/5
Product ID: 320051963
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High Performance Python

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4.7

All from verified purchases

R**5

excellent high quality material

Authors have done excellent job compiling the material, running performance tests, digging into details.

M**R

Best book on the subject

100% recommend..

A**R

I just finished this book

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.

R**A

High Performance Python

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.

P**E

Excellent book

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.

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