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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

Who this book is for

There are many books on Python and data visualization. However, there are very few that can be recommended to somebody who wants to build on the existing knowledge about Python, and there are even fewer that discuss niche techniques to make your code easier to work with and reusable. If you know a few things about Python programming but have an insatiable drive to learn more, this book will show you ways to obtain analytical results and produce amazing visual displays.

This book covers methods to produce analytical results using real-world problems. It is not written for beginners, but if you need clarification, you can follow the suggested reading hints in the book. If this book is your first exposure to Python or data visualization, you will do well to study some introductory texts. My favorite is Introduction to Computer Science and Programming by Professor John Guttag, which is freely available at MIT OpenCourseWare, and Visualize This by Nathan Yau from UCLA.

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