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That’s a great suggestion. Having a requirements.txt (or even a pyproject.toml/environment.yml for Conda users) makes it much easier to ensure everyone is running the same versions of the key libraries. If one isn’t provided, you can also generate it yourself from your working environment using: pip freeze > requirements.txt This will capture all installed packages and their versions. Sharing that file with others (or asking contributors to add an official one to the repo) would definitely help avoid version conflicts, especially with libraries like scikit-learn and seaborn that change APIs across releases. |
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Would love to get a
requirements.txt
file that shows all the python libraries that were used in the creation of of this awesome curriculum. I ran into a couple scikit and seaborn issues here and there that were solved by updating the code to reflect the version I downloaded.Giving students a requirements.txt to download with
pip
would help solve a lot of these runtime problemsBeta Was this translation helpful? Give feedback.
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