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Python Data Analysis, Second Edition

You're reading from Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787127487

Length 330 pages

Edition 2nd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (16) Chapters

Preface

1. Getting Started with Python Libraries FREE CHAPTER

2. NumPy Arrays

3. The Pandas Primer

4. Statistics and Linear Algebra

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

Installing rpy2 package

The R programming language is popular among statisticians. It is written in C and Fortran and is available under the GNU General Public License (GPL). 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 rpy2 package facilitates interfacing with R from Python. Install rpy2 as follows with pip:

$ pip3 install rpy2

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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