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An introduction to Jupyter and Jupyter Labs for data analysis, data science, and Python development

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Using Jupyter Lab, Notebooks and more!

A tutorial on:

  • Jupyter Lab
  • Jupyter Notebook
  • and other elements of the Jupyter ecosystem

Table of Contents

During this tutorial, you will:

00 Welcome: Cover the agenda for the tutorial and assorted administrivia

01 Installation: Install Jupyter Lab, Notebook and assorted tools

02 Optional: online access to the class material: Have optional online access to the course material

03 Project Jupyter Overview: Understand the Jupyter ecosystem and key components in the Jupyter tool suite

04 Introduction to Lab: Explore the fundamentals of the JupyterLab Integrated Development Environment

05 Basic Notebooks: Create basic Notebooks in the Lab user interface

06 Optimizing Your System: Optimize your enviroment, by setting configurations

07 Tips, Tricks, and More: Improve your efficiency through tips, tricks and more

08 Advanced Uses: Explore advanced uses

09 Gotchas: Understand gotchas and other challenges

10 Sharing_Notebooks: Learn how to share Notebooks

11 Widgets and More: Examine widgets and more

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