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I'd like to specify a Python environment where python-libsbml-experimental is required, and required to be equal to the version of python-libsbml (whose version would be determined by the requirements of simulation tool).
I can easily manage this ad hoc, such as by installing python-libsbml-experimental on top of a Python environment after pip/pipenv has initialized the environment.
Does anyone have advice about how manage Python environments with pip/pipenv?
The text was updated successfully, but these errors were encountered:
I'd like to specify a Python environment where python-libsbml-experimental is required, and required to be equal to the version of python-libsbml (whose version would be determined by the requirements of simulation tool).
I can easily manage this ad hoc, such as by installing python-libsbml-experimental on top of a Python environment after pip/pipenv has initialized the environment.
Does anyone have advice about how manage Python environments with pip/pipenv?
The text was updated successfully, but these errors were encountered: