Book Image

NumPy Beginner's Guide - Second Edition

By : Ivan Idris
Book Image

NumPy Beginner's Guide - Second Edition

By: Ivan Idris

Overview of this book

NumPy 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, NumPy is on the top of the list. NumPy Beginner's Guide will teach you about NumPy, a leading scientific computing library. NumPy 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 NumPy software library. Learn all the ins and outs of NumPy 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 NumPy 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 NumPy arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related SciPy project. NumPy Beginner's Guide will help you be productive with NumPy and have you writing clean and fast code in no time at all.
Table of Contents (19 chapters)
Numpy Beginner's Guide Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Artificial intelligence


Often we need to mimic intelligent behavior within a game. The scikit-learn project aims to provide an API for machine learning. What I like the most about it is the amazing documentation. We can install scikit-learn with the package manager of our operating system. This option may or may not be available depending on the operating system, but should be the most convenient route. Windows users can just download an installer from the project website.

On Debian and Ubuntu the project is called python-sklearn. On MacPorts the ports are called py26-scikits-learn and py27-scikits-learn. We can also install from source or using easy_install. There are third-party distributions from Python(x, y) – Enthought and NetBSD.

We can install scikit-learn by typing in the following command at the command line:

pip install -U scikit-learn

Or you can also do it with the following command:

easy_install -U scikit-learn

This might not work because of permissions, so you may need to put...