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Since importing the wrong package version (e.g. numpy or pandas) can quickly break code (and hinder reproducible outputs), can you suggest a standard for handling dependencies? For example, pinning dependencies in a requirements.txt file add to the root directory and/or including a install_requires key in the setup.py file.
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arokem
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Mar 6, 2017
Since importing the wrong package version (e.g. numpy or pandas) can quickly break code (and hinder reproducible outputs), can you suggest a standard for handling dependencies? For example, pinning dependencies in a requirements.txt file add to the root directory and/or including a
install_requires
key in the setup.py file.The text was updated successfully, but these errors were encountered: