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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

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (12) Chapters Close

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

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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