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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

Chapter 4. Numerical Computing and Interactive Plotting

The field of high-performance numerical computing lies at the crossroads of a number of disciplines and skill sets. In order to be successful at using high-performance computing today, it requires knowledge and skills of programming, data science, and applied mathematics. In addition to these, efficient implementation of the computational problems requires some understanding of processing and storage devices.

The role of computing in science has evolved to a different level in recent years. Programming languages (such as R and MATLAB) were common in academic research and scientific computing. Today, Python plays a big role in scientific computing for a good reason. The Python community has put together many efficient tools and packages that is being used not only by the research community, but also successful commercial organizations such as Yahoo, Google, Facebook, and Amazon.

There are two popular packages that are widely...

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