This repository contains notebooks that help you get started with the GLAM Workbench.
- Using Jupyter notebooks in the GLAM Workbench – learn how to run real, live code in a Jupyter noteboook, then grab some real, live data from the National Museum of Australia API.
This repository also includes copies of the Python Basics notebooks developed by Nathan Kelber and Ted Lawless for JSTOR Labs under Creative Commons CC BY License:
- Getting started with Jupyter
- Python Basics 1 – describes operators, expressions, data types, variables, and basic functions.
- Python Basics 2 – describes the basics of flow control statements.
- Python Basics 3 – describes the basics of lists and dictionaries.
See the Constellate GitHub repository for more useful notebooks.
Click on the button above to launch the notebooks in this repository using the Binder service (it might take a little while to load). This is a free service, but note that sessions will close if you stop using the notebooks, and no data will be saved. Make sure you download any changed notebooks or harvested data that you want to save.
Created by Tim Sherratt (@wragge) for the GLAM workbench. If you think this project is worthwhile you can become a GitHub Sponsor.