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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
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Dan Toomey
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Preface

Learning Jupyter discusses using Jupyter to record your scripts and produce results for data analysis projects. Jupyter allows data scientists to record their complete analysis process, much in the same way that other scientists use a lab notebook for recording tests, progress, results, and conclusions. Jupyter works in a variety of operating systems, and this book covers the use of Jupyter in Windows and macOS, 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 use their particular script in a native fashion.

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