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Py-dask
Jul 20, 2023
Parallel PyData with Task Scheduling
Dask is a flexible library for parallel computing in Python.
Dask is composed of two parts
- Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads.
- “Big 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 dynamic task schedulers.
- Older
- Newer
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