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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 3. Getting Started with the Python IDE

Python is a widely used programming language that has been around for over 20 years. Among many other things, this language is quite popular for its simplicity and dynamic typing. Type(datum) dynamically determines the type of the data object. It has a syntax that allows programmers to write a very few lines of code. Python supports multiple programming paradigms that include functional, object-oriented, and procedural styles.

Python interpreters are available on almost every operating system that is in use. Its built-in data structures combined with dynamic binding make it very attractive to use as a high performance language to connect the existing manipulative components quickly. Even in distributed applications, Python is used as a glue in conjunction with Hive (NoSQL) to accomplish something very quick and efficient. Python, which is powerful and popular in the software development community, needs an interactive environment to...

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