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.

NumPy Cookbook

Ivan Idris

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.
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Book Details

ISBN 139781849518925
Paperback226 pages

Book Description

Today'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.

Table of Contents

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

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Table of Contents

Book Details

ISBN 139781849518925
Paperback226 pages
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