How to Install and Uninstall python39-tinyarray Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python39-tinyarray" package
This guide let you learn how to install python39-tinyarray on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-tinyarray
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2. Uninstall "python39-tinyarray" package
This guide let you learn how to uninstall python39-tinyarray on openSuSE Tumbleweed:
$
sudo zypper remove
python39-tinyarray
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3. Information about the python39-tinyarray package on openSuSE Tumbleweed
Information for package python39-tinyarray:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-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 : python39-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.