How to Install and Uninstall python310-fastnumbers Package on openSuSE Tumbleweed
Last updated: November 24,2024
1. Install "python310-fastnumbers" package
Here is a brief guide to show you how to install python310-fastnumbers on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-fastnumbers
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2. Uninstall "python310-fastnumbers" package
In this section, we are going to explain the necessary steps to uninstall python310-fastnumbers on openSuSE Tumbleweed:
$
sudo zypper remove
python310-fastnumbers
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3. Information about the python310-fastnumbers package on openSuSE Tumbleweed
Information for package python310-fastnumbers:
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Repository : openSUSE-Tumbleweed-Oss
Name : python310-fastnumbers
Version : 5.1.0-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 418.1 KiB
Installed : No
Status : not installed
Source package : python-fastnumbers-5.1.0-1.2.src
Upstream URL : https://github.com/SethMMorton/fastnumbers
Summary : Drop-in replacement for Python's int and float
Description :
fastnumbers is a Python module with three objectives:
1. To provide drop-in replacements for the Python built-in `int` and
`float` that, on average, are around 2x faster. These functions
should behave identically to the Python built-ins except for a few
specific corner-cases as mentioned in the API documentation.
2. To provide a set of convenience functions that wrap the above int
and float replacements and provide error handling.
3. To provide a set of functions that can be used to identify whether
an input could be converted to int or float.
----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-fastnumbers
Version : 5.1.0-1.2
Arch : x86_64
Vendor : openSUSE
Installed Size : 418.1 KiB
Installed : No
Status : not installed
Source package : python-fastnumbers-5.1.0-1.2.src
Upstream URL : https://github.com/SethMMorton/fastnumbers
Summary : Drop-in replacement for Python's int and float
Description :
fastnumbers is a Python module with three objectives:
1. To provide drop-in replacements for the Python built-in `int` and
`float` that, on average, are around 2x faster. These functions
should behave identically to the Python built-ins except for a few
specific corner-cases as mentioned in the API documentation.
2. To provide a set of convenience functions that wrap the above int
and float replacements and provide error handling.
3. To provide a set of functions that can be used to identify whether
an input could be converted to int or float.