How to Install and Uninstall python311-distob Package on openSuSE Tumbleweed
Last updated: November 24,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python311-distob" package
Please follow the guidance below to install python311-distob on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python311-distob
Copied
2. Uninstall "python311-distob" package
Learn how to uninstall python311-distob on openSuSE Tumbleweed:
$
sudo zypper remove
python311-distob
Copied
3. Information about the python311-distob package on openSuSE Tumbleweed
Information for package python311-distob:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-distob
Version : 0.3.3-3.9
Arch : noarch
Vendor : openSUSE
Installed Size : 529.5 KiB
Installed : No
Status : not installed
Source package : python-distob-0.3.3-3.9.src
Upstream URL : https://github.com/mattja/distob/
Summary : Distributed computing using remote objects
Description :
Distob will take your existing python objects, or a sequence of
objects, and scatter them onto many IPython parallel engines, which
may be running on a single computer or on a cluster.
In place of the original objects, proxy objects are kept on the client
computer that provide the same interface as the original objects. You
can continue to use these as if the objects were still local. All
methods are passed through to the remote objects, where computation is
done.
In particular, sending numpy arrays to the cluster is supported.
A numpy array can also be scattered across the cluster, along a
particular axis. Operations on the array can then be automatically
done in parallel.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-distob
Version : 0.3.3-3.9
Arch : noarch
Vendor : openSUSE
Installed Size : 529.5 KiB
Installed : No
Status : not installed
Source package : python-distob-0.3.3-3.9.src
Upstream URL : https://github.com/mattja/distob/
Summary : Distributed computing using remote objects
Description :
Distob will take your existing python objects, or a sequence of
objects, and scatter them onto many IPython parallel engines, which
may be running on a single computer or on a cluster.
In place of the original objects, proxy objects are kept on the client
computer that provide the same interface as the original objects. You
can continue to use these as if the objects were still local. All
methods are passed through to the remote objects, where computation is
done.
In particular, sending numpy arrays to the cluster is supported.
A numpy array can also be scattered across the cluster, along a
particular axis. Operations on the array can then be automatically
done in parallel.