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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

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Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783553358
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (17) Chapters Close

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

Running programs on PythonAnywhere

PythonAnywhere is a Cloud service for Python development. The interface is completely web-based and simulates the Bash, Python, and IPython consoles. The support of Python versions and libraries is more varied compared to GAE. The preinstalled Python libraries are listed at https://www.pythonanywhere.com/batteries_included/.

The software version may lag a little behind the latest stable versions available, but not as much as GAE. At the time of writing, installing Python software from the PythonAnywhere Bash console appears a bit problematic and is not recommended.

It is recommended to upload Python source files instead of using the PythonAnywhere environment, as it is less responsive than our local environment. Upload files by clicking on the Files tab in the web application. Since rpy2 is supported, upload the r_demo.py file from this chapter. To execute the program, click on the Consoles tab and then click on the Bash link. Refer to the following screenshot...

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