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Hands-On Data Science with Anaconda

You're reading from   Hands-On Data Science with Anaconda Utilize the right mix of tools to create high-performance data science applications

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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James Yan James Yan
Author Profile Icon James Yan
James Yan
Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Toc

Table of Contents (15) Chapters Close

Preface 1. Ecosystem of Anaconda 2. Anaconda Installation FREE CHAPTER 3. Data Basics 4. Data Visualization 5. Statistical Modeling in Anaconda 6. Managing Packages 7. Optimization in Anaconda 8. Unsupervised Learning in Anaconda 9. Supervised Learning in Anaconda 10. Predictive Data Analytics – Modeling and Validation 11. Anaconda Cloud 12. Distributed Computing, Parallel Computing, and HPCC 13. References 14. Other Books You May Enjoy

Visualization packages for Python

The most widely used Python package is matplotlib. To find all its functions, we could issue the following three lines:

import matplotlib as mat 
x=dir(mat) 
print(x) 

The output is shown here:

To find out about all Python packages associated with data visualization, we can go to https://pypi.python.org. The following table shows the first several packages when we search data visualization, where W is the weight (in terms of popularity):

Package
W
Description

PyQtDataVisualization 5.9.2

11

Python bindings for the Qt Data Visualization library

data-utilities 1.2.8

10

A data analysis and visualization helper module

DataEnvironment 0.0.0

10

Data environment is for data analysis, visualization, and management

dataswim 0.4.10

10

Utilities to swim in a data lake

datashader 0.4

9

Data visualization tool...

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