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All recently modified items, latest first.

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-2.28.0-1.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.

python3-rx-1.6.1-1.lbn36.noarch: is a library for composing asynchronous and event-based programs using observable collections and LINQ-style query operators in Python.

python3-rwproperty-1.0-1.lbn36.noarch: Read & write properties :Author: Philipp von Weitershausen :Email: philikon@philikon.de :License: Zope Public License, v2.1Motivation -Using method decorators and descriptors like property, we can easily create computed attributes: >>> class JamesBrown(object): ... @property ... def feel(self): ... return self._feelAn attribute like this cannot be written, though. You would have to do...

python3-ruamel-yaml-clib-0.2.7-1.lbn36.x86_64: It is the C based reader/scanner and emitter for ruamel.yaml.

python3-ruamel-yaml-0.17.21-1.lbn36.x86_64: ruamel.yaml is a YAML 1.2 loader/dumper package for Python. It is a derivative of Kirill Simonov’s PyYAML 3.11

python3-rtree-0.9.7-4.fc36.noarch: Rtree is a ctypes Python wrapper of the spatialindex library, that provides a number of advanced spatial indexing features for the spatially curious Python user. These features include: -Nearest neighbor search -Intersection search -Multi-dimensional indexes -Clustered indexes (store Python pickles directly with index entries) -Bulk loading -Deletion -Disk serialization -Custom storage implementation (to implement spatial indexing in ZODB, for example)

python3-rsa-4.9-6.lbn36.noarch: Python-RSA is a pure-Python RSA implementation. It supports encryption and decryption, signing and verifying signatures, and key generation according to PKCS#1 version 1.5. It can be used as a Python library as well as on the command-line.


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