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All recently modified items, latest first.

python3-shapely-1.8.5.post1-1.lbn36.x86_64: Shapely |github-actions| |coveralls|.. |github-action .. |coverall Manipulation and analysis of geometric objects in the Cartesian plane. :width: 800 :height: 378Shapely is a BSD-licensed Python package for manipulation and analysis of

python3-sgmllib3k-1.0.0-7.lbn36.noarch: sgmllib3k -- Py3k port of the old stdlib module sgmllib was dropped in Python 3. For those depending on it, that's somewhat infortunate. This is a quick and dirty port of this old module. I just ran 2to3 on it and published it. I don't indend to maintain it, so it might be a good idea to eventually think about finding another module to use.

python3-setuptools_rust-1.3.0-2.lbn36.noarch: Setuptools plugin for Rust extensions[![github actions]( [![pypi package]( [![readthedocs]( [![code style: black]( is a plugin for setuptools to build Rust Python extensions implemented with [PyO3]( or [rust-cpython](

python3-setuptools_lint-0.6.0-1.lbn36.noarch: Setuptools lint command This package expose pylint_ as a lint command into setup.py. Installation This package is published on pypi. You can use pip to install it.:: pip install setuptools-lint--:: python setup.py lint For a full list of options, do:: python setup.py lint --help.. _pylint : *Release date: 14-Sept-2018** make python 2 & 3 explicit, thanks @cclauss * fixed pylint > 1.9...

python3-setuptools_hg-0.4-1.lbn36.noarch: setuptools_hg setuptools_hg is a plugin for setuptools/distribute to enable it to find files under the Mercurial version control system.It uses the Mercurial Python library by default and falls back to use the command line programm hg(1)_. That's especially useful inside virtualenvs that don't have access to the system wide installed Mercurial lib (e.g. when created with --no-site-...

python3-setuptools-78.1.0-1.lbn36.noarch: Setuptools is a collection of enhancements to the Python 3 distutils that allow you to more easily build and distribute Python 3 packages, especially ones that have dependencies on other packages. This package also contains the runtime components of setuptools, necessary to execute the software that requires pkg_resources.

python3-setupmeta-3.3.2-1.lbn36.noarch: Simplify your setup.py :alt: Python versions tested (link to github project)

python3-setproctitle-1.3.3-2.lbn36.x86_64: Python module allowing a process to change its title as displayed by system tool such as ps and top. It's useful in multi-process systems, allowing to identify tasks each forked process is busy with. This technique has been used by PostgreSQL and OpenSSH. It's based on PostgreSQL implementation which has proven to be portable.

python3-setools-4.4.0-5.fc36.x86_64: SETools is a collection of graphical tools, command-line tools, and Python 3 modules designed to facilitate SELinux policy analysis.

python3-sentry-sdk-2.21.0-1.lbn36.noarch: Python Error and Performance Monitoring. Actionable insights to resolve Python performance bottlenecks and errors. See the full picture of any Python exception so you can diagnose, fix, and optimize performance in the Python debugging process.

python3-send2trash-1.8.2-1.lbn36.noarch: Send2Trash is a small package that sends files to the Trash (or Recycle Bin) natively and on all platforms. On OS X, it uses native FSMoveObjectToTrashSync Cocoa calls or can use pyobjc with NSFileManager. On Windows, it uses native IFileOperation call if on Vista or newer and pywin32 is installed or falls back to SHFileOperation calls. On other platforms, if PyGObject and GIO are available, it will use this. Otherwise, it will fallback to its own implementation of the trash specifications from freedesktop.org. ctypes is used to access native libraries, so no compilation is necessary. Send2Trash supports Python 2.7 and up (Python 3 is supported). Status: Additional Help Welcome Additional help is welcome for supporting this package. Specifically help with the OSX and Linux issues and fixes would be most appreciated. Installation You can download it with pip: python -m pip install -U send2trash To install with pywin32 or pyobjc required specify the extra nativeLib: python -m pip

python3-semantic_version-2.10.0-1.lbn36.noarch: Introduction This small python library provides a few tools to handle SemVer_ in Python. It follows strictly the 2.0.0 version of the SemVer scheme. :target:

python3-selenium-4.18.1-1.lbn36.noarch: The selenium package is used automate web browser interaction from Python. Several browsers/drivers are supported (Firefox, Chrome, Internet Explorer, PhantomJS), as well as the Remote protocol.

python3-secretstorage-3.3.3-1.lbn36.noarch: Module description This module provides a way for securely storing passwords and other secrets.It uses D-Bus Secret Service_ API that is supported by GNOME Keyring

python3-scour-0.38.2-12.lbn36.noarch: Scour is an SVG optimizer/cleaner written in Python that reduces the size of scalable vector graphics by optimizing structure and removing unnecessary data. It can be used to create streamlined vector graphics suitable for web deployment, publishing/sharing or further processing. The goal of Scour is to output a file that renders identically at a fraction of the size by removing a lot of redundant information created by most SVG editors. Optimization options are typically lossless but can be tweaked for more aggressive cleaning.

python3-scipy-1.14.1-3.lbn36.x86_64: Scipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.

python3-scikit-learn-1.6.1-1.lbn36.x86_64: Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.

python3-scikit-image-0.25.2-1.lbn36.x86_64: The scikit-image SciKit (toolkit for SciPy) extends scipy.ndimage to provide a versatile set of image processing routines.

python3-savitar-4.13.1-1.fc36.x86_64: Savitar is a C++ implementation of 3mf loading with SIP Python bindings. 3mf is a 3D printing file format. The Python bindings.

python3-s3transfer-0.12.0-1.lbn36.noarch: S3transfer is a Python library for managing Amazon S3 transfers. Python 3 version.


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