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Python Data Analysis

You're reading from Python Data Analysis Learn how to apply powerful data analysis techniques with popular open source Python modules

Product type Paperback

Published in Oct 2014

Publisher

ISBN-13 9781783553358

Length 348 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (17) Chapters

Preface

1. Getting Started with Python Libraries

2. NumPy Arrays FREE CHAPTER

3. Statistics and Linear Algebra

4. pandas Primer

5. Retrieving, Processing, and Storing Data

6. Data Visualization

7. Signal Processing and Time Series

8. Working with Databases

9. Analyzing Textual Data and Social Media

10. Predictive Analytics and Machine Learning

11. Environments Outside the Python Ecosystem and Cloud Computing

12. Performance Tuning, Profiling, and Concurrency

A. Key Concepts

B. Useful Functions

C. Online Resources

Index

Installing rpy2

The R programming language is popular among statisticians. It is written in C and Fortran and is available under the GNU General Public License. R has support for modeling, statistical tests, time-series analysis, classification, visualization, and clustering. The Comprehensive R Archive Network (CRAN) and other repository websites offer thousands of R packages for various tasks.

Note

Download R from http://www.r-project.org/.

The latest R version as of August 2014 was 3.1.1. The rpy2 package facilitates interfacing with R from Python. Install rpy2 as follows with pip:

$ pip install rpy2
$ pip freeze|grep rpy2
rpy2==2.4.2

Note

If you already have rpy2 installed, follow the instructions on http://rpy.sourceforge.net/rpy2/doc-dev/html/overview.html as upgrading is not a straightforward process.

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Authors (1)

Idris

Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

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