About this video

Jupyter has emerged as a popular tool for code exposition and the sharing of research artefacts. It has interactive display capabilities and the pluggable kernel system allows data scientists to switch back and forth between multiple programming languages.

The course will walk you through the core modules and standard capabilities of the console, client, and notebook server. By exploring the Python language, you will be able to get starter projects for configurations management, file system monitoring, and encrypted backup solutions for safeguarding their data. In the final Sections, you will be able to build dashboards in a Jupyter notebook to report back information about the project and the status of various Jupyter components.

Style and Approach

This course will use a hands on approach to thoroughly investigate and extend the resources available to Jupyter users.

Publication date:
August 2017
1 hour 43 minutes

About the Author

  • Jesse Bacon

    Jesse Bacon is a hobbyist programmer that lives and works in the northern Virginia area. His interest in Jupyter started academically while working through books available from Packt Publishing. Jesse has over 10 years of technical professional services experience and has worked primarily in logging and event management

    Browse publications by this author

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