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NumPy Cookbook

NumPy Cookbook - Second Edition by Ivan Idris
English | 30 Apr. 2015 | ISBN: 1784390941 | 258 Pages | EPUB/MOBI/PDF (True) | 18.5 MB

NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time.
Over 90 fascinating recipes to learn and perform mathematical, scientific, and engineering Python computations with NumPy

About This Book

Perform high-performance calculations with clean and efficient NumPy code
Simplify large data sets by analysing them with statistical functions
A solution-based guide packed with engaging recipes to execute complex linear algebra and mathematical computations

Who This Book Is For

If you are a Python developer with some experience of working on scientific, mathematical, and statistical applications and want to gain an expert understanding of NumPy programming in relation to science, math, and finance using practical recipes, then this book is for you.

What You Will Learn

Learn advanced indexing and linear algebra
Deal with missing stock price data using masked arrays
Explore everything you need to know about image processing
Dive into broadcasting and histograms
Profile NumPy code and visualize the results
Speed up your code with Cython
Use universal functions and interoperability features
Analyze your performance using Quality Assurance
Learn about exploratory and predictive data analysis with NumPy

In Detail

This book will give you a solid foundation in NumPy arrays and universal functions. Starting with the installation and configuration of IPython, you'll learn about advanced indexing and array concepts along with commonly used yet effective functions. You will then cover practical concepts such as image processing, special arrays, and universal functions. You will also learn about Descriptionting with MatDescriptionlib and the related SciPy project with the help of examples. At the end of the book, you will study how to explore atmospheric pressure and its related techniques. By the time you finish this book, you'll be able to write clean and fast code with NumPy.

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