Add nhs-dsa-cookiecutter: beginner-focused data-science template#66
Open
josephwilson8-nhs wants to merge 3 commits into
Open
Add nhs-dsa-cookiecutter: beginner-focused data-science template#66josephwilson8-nhs wants to merge 3 commits into
josephwilson8-nhs wants to merge 3 commits into
Conversation
A lightweight, standalone cookiecutter aimed at people doing their first
real data-science project. Based on nhse-rap-cookiecutter but slimmed down:
governance/admin depth removed, learning material put front and centre.
Keeps: data/{raw,interim,processed,external}, notebooks/, reports/figures/;
a small friendly module (config.py + worked dataset.py); one worked example
test; pyproject.toml with uv as default env manager (pip+venv optional);
light pre-commit (ruff + nbstripout + whitespace); .env, .gitignore, README,
MIT LICENSE.
Drops/simplifies: OPEN_CODE_CHECKLIST, model card, LICENSE-OGL, code of
conduct, badges, NHS open-code governance; replaces the heavy
setup_repository.py with a short, well-commented teaching setup script;
reduces prompts to essentials (name, author, description, python version,
env manager, license).
Adds the differentiator: a guides/ section with eight beginner tutorials,
and a presentation/ folder with Quarto (.qmd) and PowerPoint (.pptx)
templates for a one-page summary and poster.
Reuses the CLI pattern as nhs-dsa-template and ports a slimmed bake +
no-leftover-marker test suite (33 tests).
https://claude.ai/code/session_01GaA36jUTvyxF4f1qoTrJYm
…st), and restructure guides into three RAP-aligned parts
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
A lightweight, standalone cookiecutter aimed at people doing their first
real data-science project. Based on nhse-rap-cookiecutter but slimmed down:
governance/admin depth removed, learning material put front and centre.
Keeps: data/{raw,interim,processed,external}, notebooks/, reports/figures/;
a small friendly module (config.py + worked dataset.py); one worked example
test; pyproject.toml with uv as default env manager (pip+venv optional);
light pre-commit (ruff + nbstripout + whitespace); .env, .gitignore, README,
MIT LICENSE.
Drops/simplifies: OPEN_CODE_CHECKLIST, model card, LICENSE-OGL, code of
conduct, badges, NHS open-code governance; replaces the heavy
setup_repository.py with a short, well-commented teaching setup script;
reduces prompts to essentials (name, author, description, python version,
env manager, license).
Adds the differentiator: a guides/ section with eight beginner tutorials,
and a presentation/ folder with Quarto (.qmd) and PowerPoint (.pptx)
templates for a one-page summary and poster.
Reuses the CLI pattern as nhs-dsa-template and ports a slimmed bake +
no-leftover-marker test suite (33 tests).
https://claude.ai/code/session_01GaA36jUTvyxF4f1qoTrJYm