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Hands-On Data Science with Anaconda

You're reading from  Hands-On Data Science with Anaconda

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Pages 364 pages
Edition 1st Edition
Languages
Authors (2):
Yuxing Yan Yuxing Yan
Profile icon Yuxing Yan
James Yan James Yan
Profile icon James Yan
View More author details

Table of Contents (15) Chapters

Preface 1. Ecosystem of Anaconda 2. Anaconda Installation 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

Introduction to Python packages – contrastive

To install the Python package called contrastive, we issue the following command after launching the Anaconda prompt:

pip install contrastive 

The following screenshot shows the top part of the installation:

Using the dir() and print() functions, we could find more information about a function embedded in the Python package:

from contrastive import cluster  
x=dir(cluster) 
print(x) 

The output is shown here:

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