How to Install and Uninstall python311-tinyarray Package on openSuSE Tumbleweed
Last updated: November 08,2024
1. Install "python311-tinyarray" package
Learn how to install python311-tinyarray on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-tinyarray
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2. Uninstall "python311-tinyarray" package
Please follow the guidelines below to uninstall python311-tinyarray on openSuSE Tumbleweed:
$
sudo zypper remove
python311-tinyarray
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3. Information about the python311-tinyarray package on openSuSE Tumbleweed
Information for package python311-tinyarray:
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-tinyarray
Version : 1.2.4-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 141.0 KiB
Installed : No
Status : not installed
Source package : python-tinyarray-1.2.4-2.6.src
Upstream URL : https://gitlab.kwant-project.org/kwant/tinyarray
Summary : Arrays of numbers for Python, optimized for small sizes
Description :
Tinyarrays are similar to NumPy arrays, but optimized for small sizes.
Tinyarrays support mathematical operations like element-wise addition
and matrix multiplication. Tinyarrays can be used as dictionary keys
because they are hashable and immutable. Tinyarrays are useful if you
need many small arrays of numbers, and cannot combine them into a few
large ones. Common operations on very small arrays are faster than
with NumPy, and less memory is used to store them.
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-tinyarray
Version : 1.2.4-2.6
Arch : x86_64
Vendor : openSUSE
Installed Size : 141.0 KiB
Installed : No
Status : not installed
Source package : python-tinyarray-1.2.4-2.6.src
Upstream URL : https://gitlab.kwant-project.org/kwant/tinyarray
Summary : Arrays of numbers for Python, optimized for small sizes
Description :
Tinyarrays are similar to NumPy arrays, but optimized for small sizes.
Tinyarrays support mathematical operations like element-wise addition
and matrix multiplication. Tinyarrays can be used as dictionary keys
because they are hashable and immutable. Tinyarrays are useful if you
need many small arrays of numbers, and cannot combine them into a few
large ones. Common operations on very small arrays are faster than
with NumPy, and less memory is used to store them.