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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.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783280995
Length 360 pages
Edition 1st Edition
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Author (1):
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Hector Cuesta Hector Cuesta
Author Profile Icon Hector Cuesta
Hector Cuesta
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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

Getting started with Wakari


Wakari is a cloud service for collaborative Python data-analysis environments, created by Continuum Analytics. Wakari provides a powerful set of preconfigured Python environments built over Anaconda, which is a free Python distribution for large-scale data processing and scientific computing. Wakari uses an IPython GUI, which is a Python shell improved for writing, debugging, and testing Python code for scientific computing. IPython provides a terminal-based interface and an HTML notebook similar to Wolfram-Mathematica . In Wakari, we can either use the terminal console or the IPython Notebook.

Wakari helps us to set up a complete scientific Python environment without any local installation. This can be very convenient for learning purposes, because we may start coding right away and the Anaconda distribution includes several of the most used libraries such, as NumPy, SciPy, Matplotlib, PIL, Pandas, Numba, and so on.

In Wakari, we may use different kinds of terminals...

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