Dask Parallel and Distributed Computing Scale pandas/NumPy workflows beyond memory and across clusters. When to Use - Datasets exceed available RAM - Need to parallelize pandas or NumPy operations - Processing multiple files efficiently (CSVs, Parquet) - Building custom parallel workflows - Distributing workloads across multiple cores/machines --- Dask Collections | Collection | Like | Use Case | |------------|------|----------| | DataFrame | pandas | Tabular data, CSV/Parquet | | Array | NumPy | Numerical arrays, matrices | | Bag | list | Unstructured data, JSON logs | | Delayed | Custom | A…