Package-level reference for pandas — install, versioning, Python compatibility, extras, and gotchas. The de-facto DataFrame library on PyPI.
Package-level reference for polars — install, versioning, extras, and gotchas. The Rust-powered Arrow-native alternative to pandas.
Speed up pandas workloads across all CPU cores with a one-line import swap. Covers Ray and Dask backends, config tuning, pandas interop, and when modin wins vs polars.
High-performance DataFrames with a lazy expression API. Covers read/write, select, filter, group_by, joins, LazyFrame, datetime, string operations, and pandas interop.
Load, filter, transform, and aggregate tabular data with pandas. Covers DataFrame creation, read_csv, groupby, merge, and the SettingWithCopy pitfall.
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