Awesome Data Science Viz

A curated list of resources to help you get started with data science, covering Python, pandas, scikit-learn, Jupyter Notebook, visualization tools, and beginner-friendly learning paths.

500+ curated resources for data analysis and data science including Python, SQL, Statistics, ML, AI, visualization tools, cheatsheets, roadmaps, and interview preparation for beginners and experts.

A curated Awesome list of tools, extensions, notebooks, and resources for the Jupyter ecosystem, supporting interactive computing and data science workflows.

List of resources for astronomy data science covering machine learning in astronomy, data analysis tools, and computational astrophysics. Resources for astronomers interested in data science.

A curated list of resources dedicated to feature engineering techniques for machine learning, covering methods to extract and transform features for improved model performance.

A curated set of time series datasets listed in the Awesome Public Datasets directory, including realistic and public time-series resources such as industrial sensor data, national statistics, hardware failure logs, biomedical signals, and academic time-series repositories. This collection serves as a meta-directory entry point for practitioners looking for high-quality time-series data within the broader Awesome ecosystem.