Whats New In Pandas
summary
Pandas reaches a 1.0 release in early 2020 yet continues active development with >50 regular contributors. Concrete changes: rolling/groupby accepts numba JIT functions (one example drops a Python apply from ~7 s to ~180 ms on repeated runs), a dedicated string dtype with experimental Arrow-backed string storage that cuts memory and speeds up common ops, and new nullable dtypes using pd.NA missing value to unify missing-data semantics; prototypes exist and many features are already released while Arrow integration remains work in progress.
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chapters (8)
- 0:00Pandas 2020 updates
- 1:09Project growth
- 4:01Pandas 1.0 and 1.1 features
- 8:53Faster rolling with Numba
- 9:13String data handling
- 13:34Arrow for strings
- 20:23Missing data roadmap
- 31:33Summary and contributions
