Mastering Python High Performance

· Packt Publishing Ltd
Ebook
260
Pages

About this ebook

Measure, optimize, and improve the performance of your Python code with this easy-to-follow guideAbout This BookMaster the do's and don'ts of Python performance programmingLearn how to use exiting new tools that will help you improve your scriptsA step-by-step, conceptual guide to teach you how to optimize and fine-tune your critical pieces of codeWho This Book Is For

If you're a Python developer looking to improve the speed of your scripts or simply wanting to take your skills to the next level, then this book is perfect for you.

What You Will LearnMaster code optimization step-by-step and learn how to use different toolsUnderstand what a profiler is and how to read its outputInterpret visual output from profiling tools and improve the performance of your scriptUse Cython to create fast applications using Python and CTake advantage of PyPy to improve performance of Python codeOptimize number-crunching code with NumPy, Numba, Parakeet, and PandasIn Detail

Simply knowing how to code is not enough; on mission-critical pieces of code, every bit of memory and every CPU cycle counts, and knowing how to squish every bit of processing power out of your code is a crucial and sought-after skill. Nowadays, Python is used for many scientific projects, and sometimes the calculations done in those projects require some serious fine-tuning. Profilers are tools designed to help you measure the performance of your code and help you during the optimization process, so knowing how to use them and read their output is very handy.

This book starts from the basics and progressively moves on to more advanced topics. You'll learn everything from profiling all the way up to writing a real-life application and applying a full set of tools designed to improve it in different ways. In the middle, you'll stop to learn about the major profilers used in Python and about some graphic tools to help you make sense of their output. You'll then move from generic optimization techniques onto Python-specific ones, going over the main constructs of the language that will help you improve your speed without much of a change. Finally, the book covers some number-crunching-specific libraries and how to use them properly to get the best speed out of them.

After reading this book, you will know how to take any Python code, profile it, find out where the bottlenecks are, and apply different techniques to remove them.

Style and approach

This easy-to-follow, practical guide will help you enhance your optimization skills by improving real-world code.

About the author

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.

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.