make src home to not just Python code about cookiecutter-data-science HOT 2 CLOSED

Those folders and scripts in src/ right now are just some examples and stubs, more for inspiration than to set a standard structure. It seems like this folder is going to be so different depending on project-specific goals, people are going to have to choose what they need based on each project — from the simple (a couple scripts directly in src/) to the complex (multiple languages/apps/subfolders).

That being said, I really like how you've organized that for multiple languages. Two thoughts:

• @pjbull and I have been talking about how we can feature examples of the cookiecutter data science template being used in different ways, so if you have an open-sourceable project we'd love to point to it.
• Maybe we could add "cookbook"/"common patterns"/"example" section or page to the documentation highlighting ideas like this? It would be a great middle ground between changing the base structure for everyone and letting these good ideas fall through the cracks.

from cookiecutter-data-science.

Ahh thats great.

I am basically merging my own (nascent) cookiecutter for snakemake-based analysis pipelines into my fork of this project and I was worried about bumping up against this (http://drivendata.github.io/cookiecutter-data-science/#be-conservative-in-changing-the-default-folder-structure). But now that I think about it some more, I suppose that what you mean by "changing the folder structure for all projects" would concern things like pull requests to the upstream repo.

Regarding pointing to my project: That would be great. As soon as I work out the kinks that will surely result from merging my old system into this general framework, I will shoot you guys a line.

How to feature examples: I think adding a section in the readme.md would allow folks to add their "interesting use-case" and submit a PR. That way you guys don't have to go out LOOKING for them but still have final say over what gets added. I think that is how the crew over at https://github.com/audreyr/cookiecutter do it, anyway.

from cookiecutter-data-science.