Book Image

NumPy Cookbook - Second Edition

By : Ivan Idris
Book Image

NumPy Cookbook - Second Edition

By: Ivan Idris

Overview of this book

<p>NumPy has the ability to give you speed and high productivity. High performance calculations can be done easily with clean and efficient code, and it allows you to execute complex algebraic and mathematical computations in no time.</p> <p>This book will give you a solid foundation in NumPy arrays and universal functions. Starting with the installation and configuration of IPython, you'll learn about advanced indexing and array concepts along with commonly used yet effective functions. You will then cover practical concepts such as image processing, special arrays, and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project with the help of examples. At the end of the book, you will study how to explore atmospheric pressure and its related techniques. By the time you finish this book, you'll be able to write clean and fast code with NumPy.</p>
Table of Contents (19 chapters)
NumPy Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Installing scikit-learn


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 it should be the most convenient route.

Windows users can simply 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 available from Python(x, y), Enthought, and NetBSD.

Getting ready

You need to have SciPy and NumPy installed. Go back to Chapter 1, Winding Along with IPython, for instructions if necessary.

How to do it...

Let's now see how we can install the scikit-learn project:

  • Installing with easy_install: Type any one of the following commands at the command line...