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Mastering Python High Performance

You're reading from Mastering Python High Performance Learn how to optimize your code and Python performance with this vital guide to Python performance profiling and benchmarking

Product type Paperback

Published in Sep 2015

Publisher

ISBN-13 9781783989300

Length 260 pages

Edition 1st Edition

Languages

Python

Tools

LineProfiler

Concepts

High Performance Programming

Author (1):

Fernando Donglio

View More author details

Table of Contents (10) Chapters

Preface

1. Profiling 101 FREE CHAPTER

2. The Profilers

3. Going Visual – GUIs to Help Understand Profiler Output

4. Optimize Everything

5. Multithreading versus Multiprocessing

6. Generic Optimization Options

7. Lightning Fast Number Crunching with Numba, Parakeet, and pandas

8. Putting It All into Practice

Index

Summary

To summarize, in this chapter, we covered two of the most popular and common tools used by Python developers trying to make sense of the numbers returned by profilers such as cProfile. We analyzed the old code under this new light. We even got to analyze some new code.

In the next chapter, we'll start talking about optimization in more detail. We will cover some of the things we've already seen in practice and some recommendations of good practices when profiling and optimizing code.

The rest of the chapter is locked

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Authors (1)

Fernando Donglio

Fernando Donglio

Fernando Doglio has been working as a web developer for the past 10 years. During that time, he shifted his focus to the Web and grabbed the opportunity of working with most of the leading technologies, such as PHP, Ruby on Rails, MySQL, Python, Node.js, AngularJS, AJAX, REST APIs, and so on. In his spare time, Fernando likes to tinker and learn new things. This is why his GitHub account keeps getting new repos every month. He's also a big open source supporter and tries to win the support of new people with the help of his website, lookingforpullrequests.com. You can reach him on Twitter at @deleteman123. When he is not programming, he spends time with his family.

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