Python Packages Available in Resen
Resen comes with the following python packages installed and ready to use:
| Package | Version | Application | Source |
|---|---|---|---|
| aacgmv2 | 2.5.2 | AACGM magnetic coordinate system | https://pypi.org/project/aacgmv2/ |
| apexpy | 1.0.3 | Apex magnetic coordinate system | https://pypi.org/project/apexpy/ |
| basemap | 1.2.0 | Mapping | https://matplotlib.org/basemap/ |
| bokeh | 1.0.4 | Interactive visualization library | https://bokeh.pydata.org/en/latest/ |
| cartopy | 0.17.0 | Mapping | https://scitools.org.uk/cartopy/docs/latest/ |
| davitpy | 0.8 | SuperDARN data analysis | http://davit.ece.vt.edu/davitpy/ |
| h5py | 2.9.0 | HDF5 binary data format | https://www.h5py.org/ |
| ipython | 5.8.0 | Interactive computing with jupyter | https://ipython.org/ |
| madrigalweb | 3.1.10 | Accessing the Madrigal database | http://cedar.openmadrigal.org/docs/name/rr_python.html |
| mangopy | 0.1 | MANGO data analysis | https://github.com/astib/MANGO |
| matplotlib | 2.2.4 | Basic plotting | https://matplotlib.org/ |
| netcdf4 | 1.4.3 | netCDF4 data format | https://unidata.github.io/netcdf4-python/netCDF4/index.html |
| numpy | 1.16.2 | Numerical array handling | http://www.numpy.org/ |
| pandas | 0.24.2 | Data analysis | https://pandas.pydata.org/ |
| pyglow | 0.0.0 | Upper atmosphere climatological models | https://github.com/timduly4/pyglow |
| pymongo | 3.7.2 | Tools for working with MongoDB | https://api.mongodb.com/python/current/ |
| scipy | 1.2.1 | Advanced mathematical operations | https://www.scipy.org/ |
| sciunit2 | 0.4.post3.dev95073526 | Package computational experiments for reproducability | https://sciunit.run/ |
| sgp4 | 1.4 | Propagation of satellite TLEs | https://pypi.org/project/sgp4/ |
| spacepy | 0.2.1 | Data analysis tools for space-based datasets | https://pythonhosted.org/SpacePy/ |
| sqlalchemy | 1.3.1 | Database tool kit | https://www.sqlalchemy.org/ |
| sympy | 1.1 | Symbolic computation | https://www.sympy.org/en/index.html |
| tables | 3.5.1 | HDF5 binary data format | https://pypi.org/project/tables/ |