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Jupyter for Data Science

You're reading from  Jupyter for Data Science

Product type Book
Published in Oct 2017
Publisher Packt
ISBN-13 9781785880070
Pages 242 pages
Edition 1st Edition
Languages
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey

Table of Contents (17) Chapters

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Jupyter and Data Science Working with Analytical Data on Jupyter Data Visualization and Prediction Data Mining and SQL Queries R with Jupyter Data Wrangling Jupyter Dashboards Statistical Modeling Machine Learning Using Jupyter Optimizing Jupyter Notebooks

Summary


In this chapter, we looked into the details of the Jupyter user interface: what objects does it work with, what actions can be taken by Jupyter, what does the display tell us about the data, and what tools are available? Next, we looked at some real-life examples from industry showing R and Python coding from several industries. Then we saw some of the ways to share our notebook with other users and, correspondingly, how to protect our notebook with different security mechanisms.

In the next chapter, we will see how far we can go using Python in a Jupyter Notebook.

 

 

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Jupyter for Data Science
Published in: Oct 2017 Publisher: Packt ISBN-13: 9781785880070
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