NumPy Cookbook

More Information
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
About

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.

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
Page Count 226
Course Length 6 hours 46 minutes
ISBN 9781849518925
Date Of Publication 24 Oct 2012

Authors

Ivan Idris

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. You can find more information and a blog with a few NumPy examples at ivanidris.net.