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Jupyter Cookbook

You're reading from Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788839440

Length 238 pages

Edition 1st Edition

Languages

JavaScript

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (12) Chapters

Preface

1. Installation and Setting up the Environment

2. Adding an Engine FREE CHAPTER

3. Accessing and Retrieving Data

4. Visualizing Your Analytics

5. Working with Widgets

6. Jupyter Dashboards

7. Sharing Your Code

8. Multiuser Jupyter

9. Interacting with Big Data

10. Jupyter Security

11. Jupyter Labs

Sharing Your Code

In this chapter, we will cover the following recipes:

Using a Notebook server
Using a web server
Sharing your Notebook through a public server
Sharing your Notebook through Docker
Sharing your Notebook using nbviewer
Converting Notebooks to HTML
Converting Notebooks to Markdown
Converting Notebooks to reStructedText
Converting Notebooks to Latex
Converting Notebooks to PDF

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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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