Results for “pandoc”
4 skillsMore results
Alterlab Dask
Scales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration with existing pandas code. For out-of-core analytics on a single machine prefer vaex; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.
60 · bundle
Pandas Pro
Perform efficient pandas DataFrame operations for data analysis, manipulation, and transformation with production-grade patterns.
10.4k · bundle
Pandera Polars
Creates executable Polars dataframe contracts using Pandera's Polars backend for runtime validation of schemas, columns, and checks.
0 · bundle