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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):

Toomey

View More author details

Table of Contents (12) Chapters

Preface

1. Installation and Setting up the Environment FREE CHAPTER

2. Adding an Engine

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

JupyterLab menus

This recipe will walk us through the different menus available once we start our JupyterLab.

How to do it...

There are additional menus and menu items available, as shown in the following screenshot:

The File menu includes the following:

- New: This creates a new console, Notebook, text file, or terminal window
- New Launcher: Opens another launcher window
- New View: We can now have different views of the same Notebook—completely configurable
- New Console for Activity: Another console window
- Close Launcher: Closes the launcher
- Close and Shutdown: Menu item versus Ctrl + C in the console window where Jupyter starts
- Close All: Closes all the programs that are running
- Save options: This option is used to save the Notebook
- Revert to Saved: Notebooks are stored with checkpoints that can be recovered
- Rename...: To rename the Notebook that is running
- Trust Notebook: As mentioned in the previous chapter
- Export Notebook As...: Familiar options to export the Notebook into a variety of formats:
  - HTML
  - LaTeX...

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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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