Num Py is an extension to, and the fundamental package for scientific computing with Python. In today’s world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, Num Py is on the top of the list.
Num Py Beginner’s Guide will teach you about Num Py, a leading scientific computing library. Num Py replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, is free and open source.
Write readable, efficient, and fast code, which is as close to the language of mathematics as is currently possible with the cutting edge open source Num Py software library. Learn all the ins and outs of Num Py that requires you to know basic Python only. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.You will learn about installing and using Num Py and related concepts. At the end of the book we will explore some related scientific computing projects. This book will give you a solid foundation in Num Py arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related Sci Py project. Num Py Beginner’s Guide will help you be productive with Num Py and have you writing clean and fast code in no time at all.
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