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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
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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

Notebook structure

A Jupyter Notebook is fundamentally a JSON file with a number of annotations. The main parts of the Notebook are as follows:

  • Metadata: A data dictionary of definitions used to set up and display the Notebook
  • Notebook format: Version numbers of the software used to create the Notebook (the version number is used for backward compatibility)
  • List of cells: There are different types of cells for markdown (display), code (to execute), and output (of the code type cells)
You have been reading a chapter from
Learning Jupyter 5 - Second Edition
Published in: Aug 2018
Publisher:
ISBN-13: 9781789137408
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