How to Install and Uninstall python38-tinyarray Package on openSuSE Tumbleweed
Last updated: November 14,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-tinyarray" package
This tutorial shows how to install python38-tinyarray on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python38-tinyarray
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2. Uninstall "python38-tinyarray" package
This tutorial shows how to uninstall python38-tinyarray on openSuSE Tumbleweed:
$
sudo zypper remove
python38-tinyarray
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3. Information about the python38-tinyarray package on openSuSE Tumbleweed
Information for package python38-tinyarray:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-tinyarray
Version : 1.2.3-2.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 137,4 KiB
Installed : No
Status : not installed
Source package : python-tinyarray-1.2.3-2.3.src
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 : python38-tinyarray
Version : 1.2.3-2.3
Arch : x86_64
Vendor : openSUSE
Installed Size : 137,4 KiB
Installed : No
Status : not installed
Source package : python-tinyarray-1.2.3-2.3.src
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.