Installation#
User Installation#
As a user, install from pypi:
$ pip install molecularprofiles
Main dependencies:
astropy: Used for handling astronomical and physical data units and tables.numpy: Provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.scipy: Utilized for scientific and technical computing, such as interpolation.pygrib: Enables reading and writing of GRIB (Gridded Binary) files, essential for working with meteorological data in GRIB format.
Developer Setup#
As a developer, clone the repository, create a clean conda environment and then install the package in development mode:
$ git clone git@gitlab.cta-observatory.org:cta-array-elements/ccf/mdps.git
$ cd mdps
$ mamba create -n mdps -c conda-forge python==3.12 # you can also use conda instead of mamba
$ mamba activate mdps
$ pip install -e .[test,doc,dev]
The same also works with python’s virtual environment (venv), you can use it instead of a conda environment.