Framework or library · Data & AI

pandas and NumPy

Tabular data in Python usually passes through pandas, whose DataFrame loads spreadsheets, CSV files and query results for filtering, joining and grouping, while NumPy supplies the fast n-dimensional arrays underneath it and most scientific Python. Analysts and data scientists use both every day. Both hold data in memory, so very large datasets are better handled by Polars, DuckDB or Spark.

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