NumPy Cookbook

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.

Type
ebook
Category
Data
publication date
2012-10-25
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

no of pages
226
duration
452
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
approach
Written in Cookbook style, the code examples will take your Numpy skills to the next level.
audience
This book will take Python developers with basic Numpy skills to the next level through some practical recipes.
subtitle
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.
keywords
Numpy, Python scientific computing, Scipy, Matplotlib, linear Algebra, Fourier Transform
Product ISBN
9781849518925