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You're reading from  Jupyter Cookbook

Product typeBook
Published inApr 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788839440
Edition1st Edition
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Author (1)
Dan Toomey
Dan Toomey
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Dan 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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Controlling network access


A Jupyter Notebook can control what domains can originate requests to Jupyter and/or what IP addresses can access the Notebook.

By default, notebooks allow for localhost access to a Notebook.

How to do it...

It typically means only you can access your Notebook on your machine. This is enforced with the following parameters in the configuration file:

c.NotebookApp.allow_origin = ''
c.NotebookApp.ip = 'localhost'

Controlling domain access

You can open access to users on other domains by adjusting the allow_origin setting, such as:

c.NotebookApp.allow_origin = yourdomain.com'

This gives all users in the domain access to your Notebook.

Controlling IP access

Alternatively, and conjunctively, you can control which IP addresses can access your Notebook by setting the ip value in the configuration. Using 0.0.0.0 allows all users to access your Notebook like this:

c.NotebookApp.ip = '0.0.0.0'
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Jupyter Cookbook
Published in: Apr 2018Publisher: PacktISBN-13: 9781788839440

Author (1)

author image
Dan 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.
Read more about Dan Toomey