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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
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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 (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

Notebook workflow

The typical workflow is as follows:

  • Create a new Notebook for a project or data analysis.
  • Add your analysis steps, coding, and output.
  • Surround your analysis with organizational and presentational markdown to communicate an entire story.
  • Interactive Notebooks (that include widgets and display modules) would then be used by others by modifying parameters and data to note the effects of their changes. Your markdown would present the cases that a user may want to investigate, and probable results.
You have been reading a chapter from
Learning Jupyter 5 - Second Edition
Published in: Aug 2018
Publisher:
ISBN-13: 9781789137408
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