awesome-datascience and datascience

These are competitors—both are curated learning resources that serve the same purpose of aggregating data science tools and tutorials, with the larger repository offering broader coverage but the smaller one providing more focused Python-specific curation.

awesome-datascience
71
Verified
datascience
62
Established
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 28,556
Forks: 6,397
Downloads:
Commits (30d): 39
Language:
License: MIT
Stars: 4,592
Forks: 709
Downloads:
Commits (30d): 2
Language:
License: CC0-1.0
No Package No Dependents
No Package No Dependents

About awesome-datascience

academic/awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

This repository provides a comprehensive learning path for individuals aiming to understand and apply data science concepts. It organizes a wealth of resources, including tutorials, courses, algorithms, and tools, to help you navigate the field. Whether you're a student, an analyst, or a professional looking to transition into data science, this collection offers a structured guide to go from beginner to solving real-world problems using data.

data science education machine learning basics analytics career learning resources data analysis

About datascience

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.

data-analysis machine-learning data-visualization data-engineering scientific-research

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