govcookiecutter
dslp
| govcookiecutter | dslp | |
|---|---|---|
| 1 | 4 | |
| 132 | 389 | |
| 0.0% | 2.6% | |
| 4.3 | 1.8 | |
| 3 months ago | about 3 years ago | |
| Python | ||
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
govcookiecutter
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New DS here. Where can I learn best practices for organizing a project, folder structure, BASH scripting/scheduling, etc?
For testing your statistical assumptions and performance, govcookiecutter is worth a look for its integration of agile and baked in unit testing, see: https://github.com/best-practice-and-impact/govcookiecutter
dslp
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Data Science Project Documentation
One great resource that I’ve found if you leverage GitHub is this DSLP process. Really succinctly ties everything to the code and it’s pretty quick to pick up in my experience. https://github.com/dslp/dslp
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New DS here. Where can I learn best practices for organizing a project, folder structure, BASH scripting/scheduling, etc?
As an addendum to u/GryffinLoL I’d add this resource if you’re using any kind of VCS tooling. It has some solid suggestions.
- Does anyone know of comprehensive refresher material for a once Senior Data Scientist?
- What is the best structured ds project you have seen?
What are some alternatives?
workspace-dotfiles-ansible - Automated and periodically configure workspace based on cronjob.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
cookiecutter-data-science - A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
projects - Sample projects using Ploomber.
robs_awesome_python_template - A Highly Configurable Python Project Template for Modern Python Projects
awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
missing-semester - The Missing Semester of Your CS Education 📚