A data science cookiecutter
還沒有人認領這個 Issue。
評估
研究方向
Start by reviewing the proposed data-science cookiecutter goals and comparing the two linked research cookiecutter examples. The issue names no files, tests, or implementation entry point; the work is done when the project scope and whether to implement or recommend an existing template are decided and documented.
由索引模型根據 Issue 內容生成。
描述
Is Your Feature Request Related to a Problem? Please Describe
We recently chatted with @samcunliffe and Niko from SWC (cannot tag him) about a cookiecutter for data science / scientific analysis / exploratory Python projects.
The idea would be to have some lighter requirements than for a fully-fledged Python package. And maybe some data science specific additions (like for example functionality for formatting and checking notebooks). This could be useful for many researchers, and maybe a good entry point to getting into good software practices.
Describe the Solution You'd Like
If we find this could be useful, we could have it:
- in a separate repo, or
- as part of this repo, and ask the user in the initial config phase which version they want to instantiate. @samcunliffe mentioned we could maybe use hidden variables for this.
Alternatively, we can just point to a good cookiecutter for this purpose if that already exists.
Describe Alternatives You've Considered
There are some examples of research cookiecutter:
- this one is very basic (mostly a directory structure) but maybe a good starting point if we decide we want to implement this ourselves.
- this one seems more recent and quite well documented. It may be a good one to point to if we decide that doing one ourselves is out of scope
Additional Context
No response
- 主要語言
- Python
- 星號
- 62
- 分支
- 10
- 平均合併
- 14 天 16 小時
- 30 天內合併 PR
- 2
環境準備
- 沒有 Dockerfile 或 Docker Compose 檔案
- 沒有 Pull Request 範本
- 閱讀貢獻指南
從這裡開始
- 先讀完整個 Issue，再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫，在一個分支上完成修改。
- 送出 Pull Request，並在描述裡引用這個 Issue 編號。
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