awesome-datascience and awesome-python-data-science
These are complements: the first is a broad, language-agnostic data science resource collection, while the second is a specialized curated list focused specifically on Python data science tools, allowing users to reference both for general guidance and Python-specific implementations.
About awesome-datascience
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Curated collection of ML algorithms, deep learning frameworks (PyTorch, TensorFlow, Keras), and evaluation tools organized by learning approach—supervised, unsupervised, reinforcement, and semi-supervised learning. Bridges theory and practice by combining foundational resources, datasets, and competitions with practical tooling for model evaluation and monitoring. Targets learners across all levels through structured curriculum paths, peer communities (Slack, Telegram, GitHub groups), and curated literature spanning books, journals, podcasts, and YouTube channels.
About awesome-python-data-science
krzjoa/awesome-python-data-science
Probably the best curated list of data science software in Python.
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