| Name : python3-dask-dataframe
| |
| Version : 1.1.1
| Vendor : openSUSE
|
| Release : bp154.1.2
| Date : 2021-12-05 01:39:43
|
| Group : Development/Languages/Python
| Source RPM : python-dask-1.1.1-bp154.1.2.src.rpm
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| Size : 2.80 MB
| |
| Packager : https://bugs_opensuse_org
| |
| Summary : Pandas-like DataFrame data structure for dask
|
Description :
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 DataFrame class.
A Dask DataFrame is a large parallel dataframe composed of many
smaller Pandas dataframes, split along the index. These pandas
dataframes may live on disk for larger-than-memory computing
on a single machine, or on many different machines in a cluster.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/openSUSE:/Backports:/SLE-15-SP4/step/noarch |
