- Create a Python project with default Venv in the same folder where Dockerfile and docker-compose.yml are located
- Go to Settings -> Build, Execution, Deployment -> Docker and create a new Docker server. Use unix socket. "Successfully connected" should appear.
- Configure Docker Compose as a remote Pycharm interpreter as per documentation.
- Configure the Jupyter Server as per documentation, DO NOT use Managed Server option.
- In the Project panel, right click on
docker-compose.yml
and run it. - Manually connect to
Docker
in the Services panel. - Run the Jupyter Notebook cells.
Created
June 30, 2020 09:12
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Running Jupyter notebooks with Docker-compose in PyCharm 2020.1 Professional Edition.
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