To connect to python remote interpreter inside docker, you have to make sure first, that Pycharm is aware of your docker.
Go to *Settings > Build, Execution, Deployment > Docker*. If you are on linux, you can use docker directly using its socket `unix:///var/run/docker.sock`, if you are on Windows or Mac, make sure that you have docker-machine installed, then you can simply *Import credentials from Docker Machine*.
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Configure Remote Python Interpreter
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This repository comes with already prepared "Run/Debug Configurations" for docker.
But as you can see, at the beginning there is something wrong with them. They have red X on django icon, and they cannot be used, without configuring remote python interpreter. To do that, you have to go to *Settings > Build, Execution, Deployment* first.
Next, you have to add new remote python interpreter, based on already tested deployment settings. Go to *Settings > Project > Project Interpreter*. Click on the cog icon, and click *Add Remote*.
Most of the files from `.idea/` were added to `.gitignore` with a few exceptions, which were made, to provide "ready to go" configuration. After adding remote interpreter some of these files are altered by PyCharm:
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In theory you can remove them from repository, but then, other people will lose a ability to initialize a project from provided configurations as you did. To get rid of this annoying state, you can run command::
