Pin the python-statistics requirements - #828
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Materials folders should pin their dependencies in requirements.txt, which is what the great majority of folders here already do. This one shipped with an unpinned requirements.txt and the pins kept separately in a constraints.txt, so a plain `pip install -r requirements.txt` could pull a stack the tutorial was never checked against. Move the pins into requirements.txt, drop constraints.txt, and update the README's setup step to match. Re-verified after the change: a virtualenv built from requirements.txt alone resolves to NumPy 2.5.3, SciPy 1.18.1, pandas 3.0.5 and Matplotlib 3.11.2, all 13 scripts run on it, and ruff format/check pass. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Follow-up to #827, which shipped this folder earlier today.
Materials folders should pin their dependencies in
requirements.txt, which is what the great majority of folders in this repo already do.python-statisticswent out with an unpinnedrequirements.txtand the pins kept separately in aconstraints.txt, so a plainpip install -r requirements.txtcould pull a stack the tutorial was never checked against.requirements.txtconstraints.txtis deleted, since it no longer carries anything the requirements file doesn't-c constraints.txtVerification
Built a fresh virtualenv from
requirements.txtalone and confirmed it resolves to exactly the versions the tutorial was verified against: NumPy 2.5.3, SciPy 1.18.1, pandas 3.0.5, Matplotlib 3.11.2. All 13 scripts run on it, plots included.ruff format --checkandruff checkpass under the repo's pinned ruff 0.14.1.Reviewed by @martin-martin.
🤖 Generated with Claude Code