This repository contains example notebooks for the pywwt package, which provides access to the WorldWide Telescope (WWT) visualization engine inside Python and Jupyter environments.
🚀🚀 Click here to run these examples in the cloud! 🚀🚀
Note: it is usually fast to launch a notebook server, but if updates were recently merged into this repository, you may have to wait a few minutes for the backing software images to be rebuilt.
Once you’ve launched a cloud server, you can upload and run your own notebooks as shown in this YouTube video. (Note that while the video shows an older organization of this notebook collection, the general technique still applies.)
If you’d like to make changes to this repository and want to test how they’ll work on BinderHub, you can do so by installing and using repo2docker — assuming your machine also has Docker installed. Just run:
$ repo2docker /path/to/pywwt-notebooks
to build an image of this repository and launch it as a server. To test the
JupyterLab environment as opposed to classic Jupyter, open up the URL
suggested by the repo2docker command and change its path to /lab
instead of /tree.
Authorship information for each notebook is included in a statement at the end of each. If you contribute improvements to an existing notebook, you are strongly encouraged to add your name!
The WorldWide Telescope project is fiscally sponsored by NumFOCUS. Consider making a tax-deductible donation to help support the project. Work on WWT has been supported by the American Astronomical Society (AAS), the .NET Foundation, and other organizational partners. See the WWT user website for details.