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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 FREE CHAPTER 2. NumPy Arrays 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

IPython notebooks

If you have browsed the Internet looking for information on Python, it is very likely that you have seen IPython notebooks. These are web pages with text, charts, and Python code in a special format. Have a look at these notebook collections at the following links:

Often, the notebooks are used as an educational tool or to demonstrate Python software. We can import or export notebooks either from plain Python code or using the special notebook format. The notebooks can be run locally, or we can make them available online by running a dedicated notebook server. Certain cloud computing solutions, such as Wakari and PiCloud, allow you to run notebooks in the Cloud. Cloud computing is one of the topics of Chapter 11, Environments Outside the Python Ecosystem and Cloud Computing.

You have been reading a chapter from
Python Data Analysis
Published in: Oct 2014
Publisher:
ISBN-13: 9781783553358
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