Have a personal or library account? Click to login
NumPy Cookbook Cover

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.

Publisher:Packt Publishing Limited
Paid access
|Nov 2012
Product purchase options

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 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.

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.

Table of Contents

    PDF ISBN: 978-1-84951-893-2
    Publisher: Packt Publishing Limited
    Copyright owner: © 2012 Packt Publishing Limited
    Publication date: 2012
    Language: English
    Pages: 226
    Related subjects:
    Computer sciences,
    Fundamentals of computer sciences

    People also read

    NumPy Beginner's Guide - Second Edition
    Book

    NumPy Beginner's Guide - Second Edition

    Idris, Ivan
    Numpy Beginner's Guide (Update)
    Book
    New

    Numpy Beginner's Guide (Update)

    Idris, Ivan
    NumPy Essentials
    Book
    New

    NumPy Essentials

    Deshpande, Jaidev, Holloway, Shane, Chin, Leo (Liang-Huan), Dutta, Tanmay
    Mastering Numerical Computing with NumPy
    Book

    Mastering Numerical Computing with NumPy

    Mert Cakmak, Umit, Antao, Tiago, Cuhadaroglu, Mert
    Learning NumPy Array
    Book
    New

    Learning NumPy Array

    Idris, Ivan
    SciPy Recipes
    Book
    New

    SciPy Recipes

    Martins, Luiz Felipe, Oliva Ramos, Ruben, Ayyadevara, V Kishore
    Learning SciPy for Numerical and Scientific Computing Second Edition
    Book

    Learning SciPy for Numerical and Scientific Computing Second Edition

    Mastering SciPy
    Book
    New

    Mastering SciPy

    Blanco-Silva, Francisco Javier, Silva, Francisco Javier B
    Scientific Computing with Python 3
    Book
    New

    Scientific Computing with Python 3

    Führer, Claus, Verdier, Olivier, Fuhrer, Claus, Solem, Jan Erik
    Mastering Python Scientific Computing
    Book
    New

    Mastering Python Scientific Computing