Dask: Parallel PyData with Task Scheduling

Dask is a flexible open-source Python library for parallel computing, enabling users to scale Python workflows from single machines to distributed clusters. It provides parallelized NumPy array, Pandas DataFrame, and Python list (Bag) objects, extending familiar interfaces to larger-than-memory or distributed environments. Dask maintains a frequent release cadence, typically releasing new versions monthly.