Book Image

NumPy 1.5 Beginner's Guide

By : Ivan Idris
Book Image

NumPy 1.5 Beginner's Guide

By: Ivan Idris

Overview of this book

<p>In today's world of science and technology, the hype is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy is the fundamental package needed for scientific computing with Python. NumPy will give you both speed and high productivity. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.<br /><br /><i>NumPy 1.5 Beginner's Guide</i> will teach you about NumPy from scratch. It includes everything from installation, functions, matrices, and modules to testing, all explained with appropriate examples. <br /><br /><i>Numpy 1.5 Beginner's Guide</i> will teach you about installing and using NumPy and related concepts.</p> <p>This book will give you a solid foundation in NumPy arrays and universal functions. At the end of the book, we will explore related scientific computing projects such as Matplotlib for plotting and the SciPy project through examples.</p> <p><i>NumPy 1.5 Beginner's Guide</i> will help you be productive with NumPy and write clean and fast code.</p>
Table of Contents (18 chapters)
NumPy 1.5
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Polynomials


Do you like calculus? Me, I love it! One of the ideas in calculus is Taylor expansion, that is, representing a differentiable function as an infinite series. In practice, this means that any differentiable, and therefore continuous, function can be estimated by a polynomial of a high degree. The terms of the higher degree would then be assumed to be negligibly small.