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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 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

Installing and starting JupyterLab

This recipe will show you how to install JupyterLab. After installing JupyterLab, we will take a look at how to start it to create your own Jupyter Notebook.

How to do it...

JupyterLab can be installed and started as shown in the following sections:

Installing JupyterLab

You can install JupyterLab using any of the typical install tools. For example, using conda, the command would be:

conda install -c conda-forge jupyterlab

Starting JupyterLab

Again, this is a familiar invocation, as shown in the following code:

jupyter lab

This will bring up a command window that has some familiar aspects but with slightly different information than what we have seen with Jupyter:

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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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