A data science cookiecutter
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评估
调研方向
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.
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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
- 主要语言
- Python
- 星标
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- 派生
- 10
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- 14 天 16 小时
- 30 天内合并 PR
- 2
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- 没有 Dockerfile 或 Docker Compose 文件
- 没有 Pull Request 模板
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