Dear All,

I am a python developer interested in contributing to the sfepy project. There is quite a bit of material in the "How to contribute" page (http://sfepy.org/doc-devel/developer_guide.html#how-to-contribute). So far I have been able to :

fork repository to my github account
clone forked repository into my local computer
look through issues in sfepy github page for opportunities to help resolve salient issues. I am thinking about this one in particular https://github.com/sfepy/sfepy/issues/367
Look into forking workflow in Atlassian website (https://www.atlassian.com/git/tutorials/comparing-workflows/forking-workflow)
Pursue basic git tutorials. so far I have only experience working with svn vcs.

I am confused abut how to properly set up a standalone sfepy development environment in conda. Of course installing a regular environment is easy

conda install -c conda-forge sfepy

The above command seems to take care of all dependencies, including the python installation itself. However I don't understand how this can be combined with git clone such that I can install the cloned fork within conda environment. How are the dependencies handled? What of the python version dependency? I do not see these anywhere in the repository, it seems to only contain sfepy scripts and modules.

Thanks for your consideration and look forward to hearing from you.

Best Regards,

Amine