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Mastering Python Data Visualization

You're reading from   Mastering Python Data Visualization Generate effective results in a variety of visually appealing charts using the plotting packages in Python

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781783988327
Length 372 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. A Conceptual Framework for Data Visualization 2. Data Analysis and Visualization FREE CHAPTER 3. Getting Started with the Python IDE 4. Numerical Computing and Interactive Plotting 5. Financial and Statistical Models 6. Statistical and Machine Learning 7. Bioinformatics, Genetics, and Network Models 8. Advanced Visualization A. Go Forth and Explore Visualization Index

What you need for this book

For this book, you need Python 2.7.6 or a later version installed on your operating system. For the examples in this book, Mac OS X 10.10.5's Python default version (2.7.6) has been used. Other software packages used in this book are IPython, which is an interactive Python environment. The new version of IPython is called Jupyter, which now has kernels for 50 different languages.

Install the prepackaged scientific Python distributions, such as Anaconda from Continuum or Enthought Python Distribution if possible. Anaconda typically comes with over 300 Python packages. For the Python packages that are not included in the prepackaged list, you may either use pip or conda to install them. Some examples are provided in Appendix, Go Forth and Explore Visualization.

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