This is a brief overview of the most useful Python libraries[citation needed] for space physics, and their core functionality.
The primary file is spacepython.ipynb. The easiest way to read the notebook is to click the link to this file in the list above.
The notebook was originally made for a seminar, and you can view it in presentation mode by typing:
jupyter nbconvert ./spacepython.ipynb --to slides --post servein a terminal. This will open a browser. Navigate with arrow keys (both horizontal and vertical!)
To view and edit in a browser, use:
jupyter notebook spacepython.ipynb If you do this you can also run the code yourself, or edit the notebook. I also included a pdf version.
To run the code, all the libraries that are demonstrated must be installed. Some are pretty standard across several disciplines, and are included with anacaonda. These are:
- numpy
- scipy
- matplotlib
- pandas
- sympy
The following libraries are more specific to space physics and related disciplined. They can be installed with pip (or following instructions at github pages):
- chaosmagpy (https://github.com/ancklo/ChaosMagPy)
- pyamps (https://github.com/klaundal/pyAMPS)
- apexpy (https://github.com/aburrell/apexpy)
- geopack (https://github.com/tsssss/geopack)
- cdflib (https://github.com/MAVENSDC/cdflib)
- pyglow (https://github.com/timduly4/pyglow)
- pyhwm2014 (https://github.com/rilma/pyHWM14)
- dipole (https://github.com/klaundal/dipole)
In addition, I demonstrate some use of a not-public module that I use (pytt). If you want this, I can give you access. Contact me at karl.laundal [at] uib.no
Comments are welcome. Also, feel free to make additions or changes.