How to Install and Uninstall python310-arf Package on openSuSE Tumbleweed
Last updated: December 27,2024
1. Install "python310-arf" package
Here is a brief guide to show you how to install python310-arf on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-arf
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2. Uninstall "python310-arf" package
Learn how to uninstall python310-arf on openSuSE Tumbleweed:
$
sudo zypper remove
python310-arf
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3. Information about the python310-arf package on openSuSE Tumbleweed
Information for package python310-arf:
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Repository : openSUSE-Tumbleweed-Oss
Name : python310-arf
Version : 2.6.4-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 59.0 KiB
Installed : No
Status : not installed
Source package : python-arf-2.6.4-1.2.src
Upstream URL : https://github.com/melizalab/arf
Summary : Advanced Recording Format for physiology and behavior
Description :
The Advanced Recording Format ARF is an open standard for storing
data from neuronal, acoustic, and behavioral experiments in a
portable, high-performance, archival format. The goal is to enable
labs to share data and tools, and to allow data to be accessed and
analyzed for many years in the future.
ARF is built on the the HDF5 format, and all arf files are accessible
through standard HDF5 tools, including interfaces to HDF5 written for
other languages (e.g. MATLAB, Python, etc). ARF comprises a set of
specifications on how different kinds of data are stored.
--------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-arf
Version : 2.6.4-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 59.0 KiB
Installed : No
Status : not installed
Source package : python-arf-2.6.4-1.2.src
Upstream URL : https://github.com/melizalab/arf
Summary : Advanced Recording Format for physiology and behavior
Description :
The Advanced Recording Format ARF is an open standard for storing
data from neuronal, acoustic, and behavioral experiments in a
portable, high-performance, archival format. The goal is to enable
labs to share data and tools, and to allow data to be accessed and
analyzed for many years in the future.
ARF is built on the the HDF5 format, and all arf files are accessible
through standard HDF5 tools, including interfaces to HDF5 written for
other languages (e.g. MATLAB, Python, etc). ARF comprises a set of
specifications on how different kinds of data are stored.