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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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Toc

Table of Contents (12) Chapters Close

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

Security mechanisms built into Jupyter


Jupyter has a variety of security mechanisms available depending on your needs, which we'll discuss in the following points.

How to do it...

Authentication is the process of proving that the user is as originally presented.

Jupyter can use:

  • Token-based authentication
  • Password authentication
  • No authentication

Current versions of Jupyter use token-based authentication by default. If you enable password protection for your application (the typical username and password that you have seen many times), then token-based authentication is disabled.

Token-based authentication

Token-based authentication is where a token is exchanged for all of a user's requests and it must be present in order for any user request to proceed into your application. For example:

  • User K connects to your application
  • The response from the application has a built-in token that is generated automatically and passed using web headers in the response
  • As the application is running in such a web server...
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