| Name : python310-dask-dataframe
| |
| Version : 2024.4.2
| Vendor : openSUSE
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| Release : 1.1
| Date : 2024-04-26 19:53:31
|
| Group : Unspecified
| Source RPM : python-dask-2024.4.2-1.1.src.rpm
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| Size : 2.45 MB
| |
| Packager : https://bugs_opensuse_org
| |
| Summary : Pandas-like DataFrame data structure for dask
|
Description :
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.
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:/ALP:/Experimental:/Slowroll/base.20240702/repo/oss/noarch |
