Assuming SQLite is not an option, this is exactly the sort of scenario where Docker is a good solution: you aren't just needing the sandbox the Python environment itself (virtual environment), but the actual system environment.
Virtual environments really become extra helpful here, too, because it simplifies your Dockerfiles. Assuming your Python project has a requirements.txt file, you'd only need the following:
RUN python3 -m venv venv &&\
venv/bin/pip install-r requirements.txt
You'll note, I had no need to "activate" the virtual environment. You can just use the venv's binaries directly; they know to use the virtual environment.
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
Assuming SQLite is not an option, this is exactly the sort of scenario where Docker is a good solution: you aren't just needing the sandbox the Python environment itself (virtual environment), but the actual system environment.
Virtual environments really become extra helpful here, too, because it simplifies your Dockerfiles. Assuming your Python project has a
requirements.txtfile, you'd only need the following:You'll note, I had no need to "activate" the virtual environment. You can just use the venv's binaries directly; they know to use the virtual environment.