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Awesome GitHub RepositoriesJSON-to-DataFrame Conversion
Processes raw JSON API responses into tabular DataFrame structures.
Distinct from DataFrame Integration: Distinct from general DataFrame integration as it specifically handles the transformation of raw JSON responses into structured tables.
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Awesome JSON-to-DataFrame Conversion GitHub Repositories
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- swar/nba_api
swar/nba_api
3,441Ver en GitHubThis project is a Python library that wraps official NBA endpoints to retrieve player, team, and game statistics as structured data. It serves as a programmatic interface for fetching professional basketball league records and real-time scoreboards via HTTP requests. The library integrates with Pandas to transform raw JSON responses from sports servers into DataFrames for statistical analysis and data science. It functions as a data retrieval utility for tracking league-wide performance trends and scouting professional basketball players. The tool covers a broad range of capabilities includi
Transforms raw JSON responses from sports servers into Pandas DataFrames for statistical analysis and data science.
Pythonanalysisapi-clientbasketball-stats
