python-dask 2.14.0 Parallel computing with task scheduling
Dask is a flexible parallel computing library for analytics. It consists of two components: dynamic task scheduling optimized for computation, and large data collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.
- Website: https://github.com/dask/dask/
- License: Modified BSD
- Package source: python-xyz.scm
- Patches: None
- Builds: x86_64-linux, i686-linux