Python is a versatile language that has found applications in many industries. The clean syntax, rich standard library, and vast selection of third-party libraries make Python a wildly popular language. Python High Performance is a practical guide that shows how to leverage the power of both nati
High Performance Python
โ Scribed by Micha Gorelick
- Publisher
- O'Reilly Media
- Year
- 2014
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
How can you take advantage of multi-core architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance Python for social media analytics, productionized machine learning, and other situations.
๐ SIMILAR VOLUMES
<h4>Key Features</h4><ul><li>Identify the bottlenecks in your applications and solve them using the best profiling techniques</li><li>Write efficient numerical code in NumPy, Cython, and Pandas</li><li>Adapt your programs to run on multiple processors and machines with parallel programming</li></ul>
Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Benchmarking and Profiling -- Designing your application -- Writing tests and benchmarks -- Timing your benchmark -- Better tests and benchma
<span><div><p>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, H