| Name : python2-dask-dataframe
| |
| Version : 1.1.1
| Vendor : openSUSE
|
| Release : lp152.2.3
| Date : 2020-03-04 11:19:29
|
| Group : Development/Languages/Python
| Source RPM : python-dask-1.1.1-lp152.2.3.src.rpm
|
| Size : 3.00 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: /vol/rzm3/linux-opensuse/ports/aarch64/distribution/leap/15.2/repo/oss/noarch |
