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Browse 5 datasets tagged with Sports for Python data engineering.
Sports datasets provide statistics, results, player performance metrics, and event data from professional and amateur competitions. Python data engineers use sports data for fantasy league analytics, performance modelling, betting intelligence pipelines, and building sports visualisation dashboards using libraries like Pandas and Plotly.
FiveThirtyEight publishes the datasets behind its data journalism articles covering US politics, spo
The National Library of Medicine hosts PubMed, MedlinePlus, GenBank, and other biomedical databases
GDELT offers datasets on global events, including news articles, social media posts, protests, confl
The IMF provides datasets on global economic indicators, including GDP growth, inflation rates, exch
The Humanitarian Data Exchange hosts datasets on crises, conflicts, refugee movements, food insecuri