Python Packages Available in Resen-core¶
This version of resen-core includes one python virtual environment, py38, based on python3.8. Below are the packages available in that environment.
Python Packages included¶
Package | Version | Application | Source |
---|---|---|---|
aacgmv2 | 2.6.0 | AACGM magnetic coordinate system | https://pypi.org/project/aacgmv2/ |
apexpy | 1.0.3 | Apex magnetic coordinate system | https://pypi.org/project/apexpy/ |
astropy | 4.0.1.post1 | Packages for use in astronomy | https://www.astropy.org/ |
basemap | 1.2.1 | Mapping | https://matplotlib.org/basemap/ |
bokeh | 2.2.1 | Interactive visualization library | https://bokeh.pydata.org/en/latest/ |
cartopy | 0.18.0 | Mapping | https://scitools.org.uk/cartopy/docs/latest/ |
h5py | 2.10.0 | HDF5 binary data format | https://www.h5py.org/ |
madrigalweb | 3.1.12 | 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 | 3.3.1 | Basic plotting | https://matplotlib.org/ |
netcdf4 | 1.5.4 | netCDF4 data format | https://unidata.github.io/netcdf4-python/netCDF4/index.html |
numpy | 1.19.1 | Numerical array handling | http://www.numpy.org/ |
pandas | 1.1.2 | Data analysis | https://pandas.pydata.org/ |
plasmapy | 0.4.0 | Package for plasma research | https://www.plasmapy.org/ |
pydarn | 1.1.0 | Library for data visualization of SuperDARN data. | https://pydarn.readthedocs.io/en/master/ |
pyephem | 3.7.7.0 | Package for performing high-precision astronomy computations | https://pypi.org/project/pyephem/ |
pyglow | 0.0.0(10/19/2020) | Upper atmosphere climatological models | https://github.com/timduly4/pyglow |
pymap3d | 2.4.1 | Coordinate transforms and geodesy functions | https://geospace-code.github.io/pymap3d/ |
scipy | 1.5.2 | Advanced mathematical operations | https://www.scipy.org/ |
sciunit2 | 0.4.post58.dev224550607 | Tool to create reusable research objects | https://pypi.org/project/sciunit2/ |
sgp4 | 2.12 | 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 | 1.3.19 | Database tool kit | https://www.sqlalchemy.org/ |
sunpy | 2.0.3 | Open-source solar data analysis environment | https://docs.sunpy.org |
sympy | 1.6.2 | Symbolic computation | https://www.sympy.org/en/index.html |
tables | 3.6.1 | HDF5 binary data format | https://pypi.org/project/tables/ |
viresclient | 0.6.2 | Interface to access ESA’s Swarm data and models | https://pypi.org/project/viresclient/ |
visuamisr | 2.0.3 | Read and visualize AMISR data | https://github.com/asreimer/visuamisr |