Document Your Code with Jupyter Notebooks

Table of Contents

This series teaches you to use the Jupyter Notebook file format to document code and efficiently publish code results & outputs.

Series Objectives

After completing the series, you will be able to:

  • Document & Publish Your Workflow

    • Explain why documenting and publishing one's code is important.
    • Describe two tools that enable ease of publishing code & output: Jupyter Notebook application.
  • Introduction to Using Jupyter Notebooks

    • Know how to create a notebook using the Jupyter application.
    • Be able to write a script with text and code chunks.

Things You’ll Need To Complete This Series

You will need Python 3.x (for Data Institute 2017 Python 3.5) installed on your computer. Installation instructions are here.

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