How to Install and Uninstall python3-dask-multiprocessing Package on openSUSE Leap
Last updated: January 12,2025
1. Install "python3-dask-multiprocessing" package
Please follow the instructions below to install python3-dask-multiprocessing on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-dask-multiprocessing
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2. Uninstall "python3-dask-multiprocessing" package
In this section, we are going to explain the necessary steps to uninstall python3-dask-multiprocessing on openSUSE Leap:
$
sudo zypper remove
python3-dask-multiprocessing
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3. Information about the python3-dask-multiprocessing package on openSUSE Leap
Information for package python3-dask-multiprocessing:
-----------------------------------------------------
Repository : Main Repository
Name : python3-dask-multiprocessing
Version : 1.1.1-bp155.2.16
Arch : noarch
Vendor : openSUSE
Installed Size : 18.1 KiB
Installed : No
Status : not installed
Source package : python-dask-1.1.1-bp155.2.16.src
Upstream URL : http://github.com/ContinuumIO/dask/
Summary : Display dask graphs using graphviz
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 multiprocessing interface.
-----------------------------------------------------
Repository : Main Repository
Name : python3-dask-multiprocessing
Version : 1.1.1-bp155.2.16
Arch : noarch
Vendor : openSUSE
Installed Size : 18.1 KiB
Installed : No
Status : not installed
Source package : python-dask-1.1.1-bp155.2.16.src
Upstream URL : http://github.com/ContinuumIO/dask/
Summary : Display dask graphs using graphviz
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 multiprocessing interface.