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Jupyter Cookbook

You're reading from  Jupyter Cookbook

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Pages 238 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey
LinkedIn
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.
See other products by Dan Toomey

Table of Contents (17) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Installation and Setting up the Environment 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 Index

The Jupyter trust model

Jupyter has specific parts of the application that are trusted or not:

  • Untrusted HTML is always sanitized
  • Untrusted JavaScript is never executed
  • HTML and JavaScript in Markdown cells are never trusted
  • Outputs generated by the user are trusted
  • Any other HTML or JavaScript (in Markdown cells or output generated by others) is never trusted

Sanitized, untrusted coding is crippled by not allowing access to resources, such as accessing the internet. This can be a problem as many applications would naturally store JavaScript and/or actionable CSS in cells that are not visible to the user but would be crippled as part of the trust model.

Jupyter develops trust for an application by comparing digital signatures. When a Notebook is stored, a digital signature is made using the contents of the Notebook and a secret. The digital signature is stored on a disk accessible by the server. Then, whenever a Notebook is accessed, the signature is regenerated and compared to the stored value...

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Authors (1)

Profile icon Dan Toomey
LinkedIn
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.
See other products by Dan Toomey

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