How to Install and Uninstall python312-line_profiler Package on openSuSE Tumbleweed
Last updated: January 01,2025
1. Install "python312-line_profiler" package
In this section, we are going to explain the necessary steps to install python312-line_profiler on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-line_profiler
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2. Uninstall "python312-line_profiler" package
This guide let you learn how to uninstall python312-line_profiler on openSuSE Tumbleweed:
$
sudo zypper remove
python312-line_profiler
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3. Information about the python312-line_profiler package on openSuSE Tumbleweed
Information for package python312-line_profiler:
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-line_profiler
Version : 4.1.2-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 514.6 KiB
Installed : No
Status : not installed
Source package : python-line_profiler-4.1.2-2.1.src
Upstream URL : https://github.com/pyutils/line_profiler
Summary : Line-by-line profiler
Description :
line_profiler will profile the time individual lines of code take to execute.
The profiler is implemented in C via Cython in order to reduce the overhead of
profiling.
Also included is the script kernprof.py which can be used to conveniently
profile Python applications and scripts either with line_profiler or with the
function-level profiling tools in the Python standard library.
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-line_profiler
Version : 4.1.2-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 514.6 KiB
Installed : No
Status : not installed
Source package : python-line_profiler-4.1.2-2.1.src
Upstream URL : https://github.com/pyutils/line_profiler
Summary : Line-by-line profiler
Description :
line_profiler will profile the time individual lines of code take to execute.
The profiler is implemented in C via Cython in order to reduce the overhead of
profiling.
Also included is the script kernprof.py which can be used to conveniently
profile Python applications and scripts either with line_profiler or with the
function-level profiling tools in the Python standard library.