More Information
  • Configuring Jupyter, Console, Client and Core Modules
  • Accessing the Logger and using widgets
  • Building Data Dashboards
  • Monitoring Application Directories
  • Using Remote Notebooks

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.

  • Learn and explore Jupyter by understanding the domain of Jupyter Namespace
  • Create custom extensions and build data widgets.
  • Grasp quickly and get access to the resources of Jupyter notebook
Course Length 1 hour 43 minutes
ISBN 9781788296069
Date Of Publication 30 Aug 2017


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