Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Practical Data Analysis

You're reading from   Practical Data Analysis For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that.

Arrow left icon
Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783280995
Length 360 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Hector Cuesta Hector Cuesta
Author Profile Icon Hector Cuesta
Hector Cuesta
Arrow right icon
View More author details
Toc

Table of Contents (24) Chapters Close

Practical Data Analysis
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started FREE CHAPTER 2. Working with Data 3. Data Visualization 4. Text Classification 5. Similarity-based Image Retrieval 6. Simulation of Stock Prices 7. Predicting Gold Prices 8. Working with Support Vector Machines 9. Modeling Infectious Disease with Cellular Automata 10. Working with Social Graphs 11. Sentiment Analysis of Twitter Data 12. Data Processing and Aggregation with MongoDB 13. Working with MapReduce 14. Online Data Analysis with IPython and Wakari Setting Up the Infrastructure Index

Installing and running Python 3


Python is a general-purpose programming language whose design philosophy emphasizes batteries included, which provides clear and logical programs on small and large scale.

The latest versions of Ubuntu and Fedora come with Python 2.7 out of the box. In this book, we will use Python 3.2 for the code examples and projects. Python comes with a large set of standard libraries that support many common programming tasks such as collections, connecting to web servers, high-performance scientific computing, searching text with regular expressions, reading and modifying files.

We will make use of several Python libraries such as numpy, scipy, mlpy, nose, pymongo. In this chapter, we will see how to install and set up all these libraries. We can find more information on the Python's official website, http://python.org/.

Installing and running Python 3.2 on Ubuntu

To install python, simply open a command prompt and run the following command:

$ sudo apt-get install python3

To check whether everything is installed correctly, just execute the following command:

$ python3

Installing and running IDLE on Ubuntu

To install IDLE, just open a command prompt and run the following command:

$ sudo apt-get install idle3

To check whether everything is installed correctly, just execute the following command:

$ idle3

Installing and running Python 3.2 on Windows

First, download Python 3.2 from the official website, http://www.python.org/download/releases/3.2.3/.

The Windows version is provided as an MSI package. To install it manually, just double click the /python-3.2.3.msi file:

By design, Python installs to a directory with the version number embedded. In this case, Python version is 3.2 and will install at C:\Python32\, so that you can have multiple versions of Python on the same system without any conflicts.

Tip

Python does not automatically modify the PATH environment variable, so you will need to do it manually. Right-click on My Computer, select Properties, Advance System Settings, and click on the Environment Variables button.

Now edit the PATH system-variable and add ;C:\Python32\;C:\Python32\Scripts\ to its end.

To check whether everything is installed correctly, just execute the following command in the Windows terminal:

>> python

Installing and running IDLE on Windows

IDLE is already installed with Python MSI installation, to run it just navigate to Start | All Programs | Python 3.2 | IDLE (Python GUI):

Tip

The easy_install command makes it easy to fetch and install Python libraries and their dependencies. The most crucial third-party Python software of all is Distribute , which extends the packaging and installation facilities provided by distutils in the standard library.

To obtain the latest version of Distribute for Windows, run the Python script available at http://www.lfd.uci.edu/~gohlke/pythonlibs/#distribute. Download and execute distribute-0.6.35.win32-py3.2.exe. Now easy_install gets installed into c:\Python32\Scripts.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime