CodeCutTech/Data-science

Collection of useful data science topics along with articles, videos, and code

Archived
43
/ 100
Emerging

Covers MLOps fundamentals (dependency management, CI/CD, data drift detection), data pipeline tools (dbt, DVC), and Python ecosystem practices (testing with pytest, dataframe optimization with Polars). Each article pairs hands-on code repositories and video tutorials with explanations of modern tools like Hydra for configuration, pre-commit hooks for automation, and GitHub Actions for ML deployment. Content spans infrastructure, testing, visualization, and LLM integration across distributed compute frameworks (Pandas, Spark, Dask).

4,180 stars.

Archived No License No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

4,180

Forks

1,058

Language

Jupyter Notebook

License

Last pushed

Dec 02, 2025

Commits (30d)

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