python3-dask-bag
Data structure generic python objects in dask
A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask bag class. Dask.Bag parallelizes computations across a large collection of generic Python objects. It is particularly useful when dealing with large quantities of semi-structured data like JSON blobs or log files.
BSD-3-Clausecloud_download Downloads
To download packages, you need to log in and have a valid subscription.
Please select a product to see the available package versions:
Loading...
Loading package downloads...