NumPy Cookbook: If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

Name: NumPy Cookbook: If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.
Rating: 2.5 (2 reviews)

Ivan Idris

Oct 2012 · Packt Publishing Ltd

2 reviews

Ebook

226

Pages

Tools

About this ebook

If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.Key Features

Do high performance calculations with clean and efficient NumPy code
Analyze large sets of data with statistical functions
Execute complex linear algebra and mathematical computations

Book DescriptionToday's world of science and technology is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy will give you both speed and high productivity. "NumPy Cookbook" will teach you all about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, it is free and open source. "Numpy Cookbook" will teach you to write readable, efficient, and fast code that is as close to the language of Mathematics as much as possible with the cutting edge open source NumPy software library. You will learn about installing and using NumPy and related concepts. At the end of the book, we will explore related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project through examples. "NumPy Cookbook" will help you to be productive with NumPy and write clean and fast code.What you will learn

Learn advanced Indexing and linear algebra
Know reshaping automatically
Dive into Broadcasting and Histograms
Profile NumPy code and visualize your profiling results
Speed up your code with Cython
Use the array interface to expose foreign memory to NumPy
Use universal functions and interoperability features
Learn about Matplotlib and Scipy which is often used in conjunction with Numpy

Who this book is for

This book will take Python developers with basic Numpy skills to the next level through some practical recipes.

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Ratings and reviews

2 reviews

About the author

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

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