Resources for the 2018 GLPA Jupyter Notebook/Python Workshop
An interactive cloud version of these notebooks is available on Azure Notebooks here: https://notebooks.azure.com/marksubbarao/libraries/GLPAjupyter2018 (you will need to clone this library before executing code)
The notebooks for this workshop are:
- AstroNotebook Fun which demos some of the properties of Jupyter notebooks.
- Astropy Fun which gives you a quick tour of some of the Astropy functionality
- HR diagram which illustrates plotting and interaction with the Worldwide Telescope client.
- D2D Fisheye which illustrated how to pull data from a data2dome json feed.
Here are some other Jupyter Notebook resources on the IPSScienceVisualization GitHub site
- Tokyo 2016 Content from the 2016 NAOJ/IPS Data to Dome workshop. Tsunehiko Kato's notebookbooks provide an excellent introduction to Python.
- Cape Town 2017 Content from the 2016 Data to Dome day at the Iziko Planetarium.
- OpenSpace Python resources for creating OpenSpace content.