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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
Concepts
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey
LinkedIn
Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
See other products by 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

Versioning a notebook

A common practice in the programming world is to maintain a history of the changes made to a program. Over time the different versions of the program are maintained in a software repository where the programmer can retrieve prior versions to return to an older, working state of their program.

In the previous section we mentioned placing your notebook on GitHub. Git is a software repository in wide use. GitHub is an internet-based instance of Git. Once you have any software in Git it will automatically be versioned. The next time you update your notebook in GitHub. Git will take the current instance, store it as a version in your history, and place the new instance as the current—where anyone accessing your GitHub repository will see the latest version by default.

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Authors (1)

Profile icon Dan Toomey
LinkedIn
Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
See other products by Dan Toomey

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