gas-around-stars | Combine MUSE and HST observations

In principle one could clone this repository from github and use it right away. However to ensure that everything works as intended, a few additional steps are recommended. And that's it. You may have noticed that the project already contains folders and files for unit test and documentations. However neither are currently used but both should eventually be added.
Set up conda environment: It is highly advised to run data science projects in a dedicated environment. This has the advantage that any third party packages have the correct version installed which helps to make the results reproducible. We use conda to do this. The required packages are listed in environment.yml and a new environment, called pymuse is created with conda env create -f .\environment.yml Every time one opens a new shell, the environment must be activated with conda activate pymuse New packages can either be installed by altering the installation file and running conda env update -f environment.yml --prune or by typing conda install photutils -c astropy Both cases require an active environment. Lastly, a useful addition when working with jupyter notebooks are extensions which can be activated with conda install -c conda-forge jupyter_contrib_nbextensions conda install -c conda-forge jupyter_nbextensions_configurator The extensions can then be activated in the Nbextensions tab of the jupyter explorer
Install astrotools: this package relies on a few functions that were outsourced to a separate package (astrotools) that should be installed first.
Install the package: with the dependencies installed, we still need to setup the actual package. To develop the package, simply type python setup.py develop