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Python High Performance, Second Edition

Python High Performance, Second Edition

By : Dr. Gabriele Lanaro
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Python High Performance, Second Edition

Python High Performance, Second Edition

4 (2)
By: Dr. Gabriele Lanaro

Overview of this book

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 native and third-party Python libraries to build robust applications. The book explains how to use various profilers to find performance bottlenecks and apply the correct algorithm to fix them. The reader will learn how to effectively use NumPy and Cython to speed up numerical code. The book explains concepts of concurrent programming and how to implement robust and responsive applications using Reactive programming. Readers will learn how to write code for parallel architectures using Tensorflow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. By the end of the book, readers will have learned to achieve performance and scale from their Python applications.
Table of Contents (10 chapters)
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Continuous integration

Continuous integration is a great way to ensure that the application stays bug-free at every development iteration. The main idea behind continuous integration is to run the test suite for the project very frequently, usually on a separate build server that pulls the code directly from the main project repository.

Setting up a build server can be accomplished by manually setting up software such as Jenkins (https://jenkins.io/), Buildbot (http://buildbot.net/), and Drone (https://github.com/drone/drone) on a machine. This a convenient and cheap solution, especially for small teams and private projects.

Most open source projects take advantage of Travis CI (https://travis-ci.org/), a service capable of building and testing your code automatically from your repository because it's tightly integrated with GitHub. As of today, Travis CI provides a free plan for open source projects. Many...

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