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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

Installing with setuptools

If you have setuptools or pip, you can install NumPy, SciPy, matplotlib, and IPython with the following commands. For each library, we give two commands, one for setuptools and one for pip. You only need to choose one command per pair:

$ easy_install numpy
$ pip install numpy

$ easy_install scipy
$ pip install scipy

$ easy_install matplotlib
$ pip install matplotlib

$ easy_install ipython
$ pip install ipython

It may be necessary to prepend sudo to these commands if your current user doesn't have sufficient rights on your system.

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