r0f1/datascience
Curated list of Python resources for data science.
This is a comprehensive collection of resources for anyone working with data using Python. It brings together popular libraries for data handling, visualization, and machine learning, alongside tools for data extraction, big data processing, and workflow management. The ideal user is a data scientist, analyst, or researcher who uses Python to explore, analyze, and model data, turning raw information into insights, reports, or interactive applications.
4,592 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are a data professional looking for a curated starting point or a detailed reference for Python tools and best practices across the entire data science workflow.
Not ideal if you are looking for an out-of-the-box software solution or a no-code/low-code platform to perform data analysis without writing code.
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Last pushed
Mar 02, 2026
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