Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

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Bibliographic Details

Title

NumPy Cookbook

Publisher

Packt Publishing

Publication Date

2012

Language

English

ISBN 10

1849518920

ISBN 13

9781849518925

Binding

Soft cover

Condition

Good

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About this title

Synopsis

Over 70 interesting recipes for learning the Python open source mathematical library, NumPy

Overview

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

In Detail

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 from this book

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

Approach

Written in Cookbook style, the code examples will take your Numpy skills to the next level.

Who this book is written for

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

About the Author

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. He enjoys writing clean, testable code, and interesting technical articles. He is the author of NumPy 1.5 Beginner's Guide. You can find more information and a blog with a few NumPy examples at ivanidris.net.

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