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We often have problems with Python dependencies breaking because of differing versions.
All our Python dependencies (both for dev and examples) should be in a Pipfile.lock, or something similar. Maybe look into Poetry?
Pipfile.lock
The text was updated successfully, but these errors were encountered:
I can vouch for poetry, I use it for my personal projects.
Sorry, something went wrong.
Relevant for the upcoming numpy 2.0 release: https://pythonspeed.com/articles/numpy-2/
Closing in favor of the better written issue:
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We often have problems with Python dependencies breaking because of differing versions.
All our Python dependencies (both for dev and examples) should be in a
Pipfile.lock
, or something similar. Maybe look into Poetry?The text was updated successfully, but these errors were encountered: