Getting started with Jupyter Notebooks

Some community members are building API queries through Jupyter Notebooks, which is a powerful web-based tool to run programming scripts. Most community members are using Python, but Jupyter notebooks can also support additional languages like R or Perl.

A common way to start with learning about Jupyter Notebooks is to use Google's Colab platform, which is built off of Jupyter Notebooks as a base.

If you work at a college or university, you should also consider researching local possibilities to run Jupyter Notebooks, as they are a common tool used in university classes for statistics, computer science and other projects, and so your institution may already have ways for you to do this without having to use Google or other platforms.

We encourage community members to edit this page and add to this list as they find things that have benefited their learning.

• Project Jupyter: https://jupyter.org/
  • The homepage for the open source project that built and supports Jupyter notebooks
• Google Colab: https://colab.research.google.com/
  • Colab provides a Jupyter Notebook platform for Python scripting
  • Note that notebooks that you create will be stored in your Google Drive
• Training from the Reporting SIG - Querying LDLite: Querying FOLIO APIs with Postman, LDLite