Open-source Python parallel computing tool for larger datasets and distributed data analysis.
Dask is an open-source Python parallel computing library that extends NumPy, pandas and scikit-learn patterns to handle larger datasets and parallel tasks. Researchers can use it for large tables, remote sensing data, simulation output and batch computation.
Use cases: Python parallel computing, big data analysis, batch tasks, processing simulation output, data engineering
Note: Small datasets usually don't need Dask; pandas, Polars or DuckDB are simpler to start with.
