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Learning Jupyter

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

Product type Paperback

Published in Nov 2016

Publisher Packt

ISBN-13 9781785884870

Length 238 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Toomey

View More author details

Table of Contents (16) Chapters

Learning Jupyter

Credits

About the Author

About the Reviewer

www.PacktPub.com

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

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 cell for markdown (display), code (to execute), and output (of the code type cells)

You have been reading a chapter from

Learning Jupyter

Published in: Nov 2016

Publisher: Packt

ISBN-13: 9781785884870

© 2016 Packt Publishing Limited All Rights Reserved

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Authors (1)

Toomey

Toomey

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.

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