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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
Tools
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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

Using a Notebook server


Built into the Jupyter process is the ability to expose a Notebook as its own web server. Assuming the server is a machine accessible by other users, you can configure Jupyter to run on that server. You must provide the configuration information to Jupyter so that it knows how to proceed. The command to generate a configuration file for your Jupyter installation is:

jupyter notebook --generate-config

This command will generate a jupyter_notebook_config.py file in your ~./jupyter directory. For Microsoft users, that directory is a sub-directory of your home User directory.

The configuration file, shown as follows, contains the settings that you can use to expose your Notebook as a server:

c.NotebookApp.certfile = u'/path/to/your/cert/cert.pem'
c.NotebookApp.keyfile = u'/ path/to/your/cert/key.key'
c.NotebookApp.ip = '*'
c.NotebookApp.password = u'hashed-password'
c.NotebookApp.open_browser = False
c.NotebookApp.port = 8888

The following table describes each of the settings...

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