HelioML/HelioML: HelioML 0.4.0 (2021-02-08)
- 1. Stanford University
- 2. University of Colorado / LASP
- 3. UC Berkeley
- 4. Geological Survey of Brazil
- 5. FHNW
- 6. University of New Hampshire
- 7. The University of Washington eScience Institute
- 8. Minnesota State University Moorhead
The HelioML team is happy to announce the release of HelioML 0.4.0.
This release included a complete restructure of the back-end of the book, which now uses Jupyter Book version 0.8.3. As part of the restructure, all the chapter numbers shifted by one; e.g. what was previously Chapter 4 is now Chapter 3.
We would like to acknowledge the following people for contributing new chapters to the book since v0.3.0:
- Colin Small, along with collaborators Matthew R. Argall and Marek Petrik, for contributing Chapter 7 on automatically detecting magnetopause crossings in MMS data,
- Rafael Pires de Lima, along with collaborator Yue Chen, for contributing Chapter 8 on forecasting Megaelectron‐volt electrons inside Earth's outer radiation belt, and
- Téo Bloch, along with collaborators Clare Watt, Mathew Owens, Leland McInnes, and Allan R. Macneil, for contributing Chapter 9 on classifying solar wind source regions.
We would also like to acknowledge Chris Holdgraf for including us in the Gallery of Jupyter Books.
Sincerely, The HelioML Team
- Is supplement to
- https://github.com/HelioML/HelioML/tree/0.4.0 (URL)