NumPy 1.5: Beginner's Guide

✍ Scribed by Ivan Idris

Publisher: Packt Publishing
Year: 2011
Tongue: English
Leaves: 234
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

An action-packed guide for the easy-to-use, high performance, Python based free open source NumPy mathematical library using real-world examples. The first and only book that truly explores NumPy practically. Perform high performance calculations with clean and efficient NumPy code. Analyze large data sets with statistical functions. Execute complex linear algebra and mathematical computations.

📜 SIMILAR VOLUMES

NumPy 1.5 Beginner's Guide

📁 NumPy 1.5 Beginner's Guide

✍ Ivan Idris 📂 Library 📅 2011 🏛 Packt Publishing 🌐 English

An action packed guide for the easy-to-use, high performance, free open source NumPy mathematical library using real world examples The first and only book that truly explores NumPy practically Perform high performance calculations with clean and efficient NumPy code Analyze large data sets wi

NumPy 1.5 Beginner's Guide

📁 NumPy 1.5 Beginner's Guide

✍ Ivan Idris 📂 Library 📅 2011 🏛 Packt Publishing 🌐 English

An action packed guide for the easy-to-use, high performance, free open source NumPy mathematical library using real-world examples <ul> <li>The first and only book that truly explores NumPy practically</li> <li>Perform high performance calculations with clean and efficient NumPy code</li> <l

NumPy 1.5 Beginner's Guide

📁 NumPy 1.5 Beginner's Guide

✍ Ivan Idris 📂 Library 📅 2011 🏛 Packt 🌐 English

The book is written in beginner's guide style with each aspect of NumPy demonstrated by real world examples. There is appropriate explained code with the required screenshots thrown in for the novice. This book is for the programmer, scientist or engineer, who has basic Python knowledge and would li

NumPy Beginner's Guide

📁 NumPy Beginner's Guide

✍ Ivan Idris 📂 Library 📅 2013 🏛 Packt Publishing 🌐 English

An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library Overview <ul> <li>Perform high performance calculations with clean and efficient NumPy code</li> <li>Analyze large data sets with statistical functi

NumPy Beginner's Guide

📁 NumPy Beginner's Guide

✍ Ivan Idris 📂 Library 📅 2013 🏛 Packt Publishing 🌐 English

Numpy Beginner's Guide

📁 Numpy Beginner's Guide

✍ Ivan Idris 📂 Library 📅 2015 🏛 Packt Publishing 🌐 English