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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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Author (1):
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Kirthi Raman Kirthi Raman
Author Profile Icon Kirthi Raman
Kirthi Raman
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Table of Contents (16) Chapters Close

Mastering Python Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. A Conceptual Framework for Data Visualization FREE CHAPTER 2. Data Analysis and Visualization 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 Go Forth and Explore Visualization Index

Summary


During the last several decades, computing has emerged as a very important part of many fields. In fact, the curriculum of computer science in many schools, such as Stanford, UC-Berkeley, MIT, Princeton, Harvard, Caltech, and so on, has been revised to accommodate interdisciplinary courses because of this change. In most scientific disciplines, computational work is an important complement to experiments and theory. Moreover, a vast majority of experimental and theoretical papers involve some numerical calculations, simulations, or computer modeling.

Python has come a long way, and today the community of Python has grown to the extent that there are sources and tools to help write minimal code to accomplish almost everything that one may need in computing very efficiently. We could only pick a few working examples in this chapter, but in the following chapters, we will take a look at more examples.

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