Ivan Idris

NumPy Cookbook (eBook, PDF)

• Format: PDF

Produktbeschreibung

In DetailToday'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."e;NumPy Cookbook"e; 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."e;Numpy Cookbook"e; 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."e;NumPy Cookbook"e; will help you to be productive with NumPy and write clean and fast code.ApproachWritten in Cookbook style, the code examples will take your Numpy skills to the next level.Who this book is forThis book will take Python developers with basic Numpy skills to the next level through some practical recipes.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 226
• Erscheinungstermin: 25. Oktober 2012
• Englisch
• ISBN-13: 9781849518932
• Artikelnr.: 56814056

Autorenporträt

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.