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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Preface

Learning Jupyter discusses using Jupyter to record your scripts and results for a data analysis project. Jupyter allows the data scientist to record their complete analysis process, much in the same way other scientists use a lab notebook for recording tests, progress, results and conclusions. Jupyter works in a variety of operating systems and the book covers the use of Jupyter in Windows and Mac OS X along with the various steps necessary to enable your specific needs. Jupyter supports a variety of scripting languages by the addition of language engines so the user can portray their script natively in it.

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