Modified items

All recently modified items, latest first.

python3-kickstart-3.36-1.fc36.noarch: Python 3 library for manipulating kickstart files. The binaries are found in the pykickstart package.

python3-keyring-25.5.0-1.lbn36.noarch: The Python keyring library provides an easy way to access the system keyring service from python. It can be used in any application that needs safe password storage. These recommended keyring backends are supported: • macOS Keychain • Freedesktop Secret Service supports many DE including GNOME (requires secretstorage) • KDE4 & KDE5 KWallet (requires dbus) • Windows Credential Locker Other keyring implementations are available through third-party backends.

python3-kazoo-2.9.0-1.lbn36.noarch: Kazoo is a Python library designed to make working with Zookeeper a more hassle-free experience that is less prone to errors.

python3-jupyterlab_pygments-0.1.2-5.fc36.noarch: This package contains a syntax coloring theme for pygments making use of the JupyterLab CSS variables.

python3-jupyter-core-5.7.2-1.lbn36.noarch: There is no reason to install this package on its own.

python3-jupyter-client-8.4.0-1.lbn36.noarch: Jupyter Client jupyter_client contains the reference implementation of the Jupyter protocol. It also provides client and kernel management APIs for working with kernels. It also provides the jupyter kernelspec entrypoint for installing kernelspecs for use with Jupyter frontends. Development Setup The Jupyter Contributor Guides provide extensive information on contributing code or documentation to Jupyter projects. The limited instructions below for setting up a development environment are for your convenience. Coding You'll need Python and pip on the search path. Clone the Jupyter Client git repository to your computer, for example in /my/project/jupyter_client cd /my/projects/ git clone git@github.com:jupyter/jupyter_client.git Now create an editable install and download the dependencies of code and test suite by executing: cd /my/projects/jupyter_client/ pip install -e ".[test]" pytest The last command runs the test suite to verify the setup. During development, you can pass file

python3-jsonschema-4.23.0-1.lbn36.noarch: jsonschema is an implementation of the JSON Schema specification for Python.

python3-jsonschema-4.23.0-1.lbn36.noarch: jsonschema is an implementation of the JSON Schema specification for Python.

python3-jsonpath-rw-1.4.0-7.fc36.noarch: This library provides a robust and significantly extended implementation of JSONPath for Python, with a clear AST for meta-programming. This library differs from other JSONPath implementations in that it is a full language implementation, meaning the JSONPath expressions are first class objects, easy to analyze, transform, parse, print, and extend.

python3-js2py-0.74-1.lbn36.noarch: Translates JavaScript to Python code. Js2Py is able to translate and execute virtually any JavaScript code.Js2Py is written in pure python and does not have any dependencies. Basically an implementation of JavaScript core in pure python. import js2py f js2py.eval_js( "function $(name) {return name.length}" ) f("Hello world") returns 11Now also supports ECMA 6 through...

python3-jose-3.3.0-13.fc36.noarch: The JavaScript Object Signing and Encryption (JOSE) technologies - JSON Web Signature (JWS), JSON Web Encryption (JWE), JSON Web Key (JWK), and JSON Web Algorithms (JWA) - collectively can be used to encrypt and/or sign content using a variety of algorithms. While the full set of permutations is extremely large, and might be daunting to some, it is expected that most applications will only use a small set of algorithms to meet their needs. As of 3.3.0, python-jose implements three different cryptographic backends. The backend must be selected as an extra when installing python-jose. If you do not select a backend, the native-python backend will be installed. Unless otherwise noted, all backends support all operations. Due to complexities with setuptools, the native-python backend is always installed, even if you select a different backend on install. 1. cryptography * This backend uses pyca/cryptography for all cryptographic operations. This is the recommended backend and is selected over all other backends if any others are present. * Installation: dnf install python3-jose+cryptography * Unused dependencies: - rsa - ecdsa - pyasn1 2. pycryptodome * This backend uses pycryptodome for all cryptographic operations. * Installation: not available because pycryptodome (which, unlike pycryptodomex, conflicts with pycrypto) is not packaged * Unused dependencies: - rsa 3. native-python * This backend uses python-rsa and python-ecdsa for all cryptographic operations. This backend is always installed but any other backend will take precedence if one is installed. * Installation: dnf install python3-jose Note The native-python backend cannot process certificates.

python3-joblib-1.1.0-3.fc36.1.noarch: Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: * transparent disk-caching of the output values and lazy re-evaluation (memorize pattern) * easy simple parallel computing * logging and tracing of the execution

python3-jmespath-1.0.1-1.lbn36.noarch: JMESPath allows you to declaratively specify how to extract elements from a JSON document.

python3-jinxed-1.2.0-1.lbn36.noarch: .. start-badges| |docs| |appveyor| |travis| |codecov| | |pypi| |supported- versions| |supported-implementations| | |linux| |windows| |mac| |bsd|.. |doc .. |appveyo .. |travis| image::

python3-jinja2-3.1.6-1.lbn36.noarch: Jinja2 is a template engine written in pure Python. It provides a Django inspired non-XML syntax but supports inline expressions and an optional sandboxed environment. If you have any exposure to other text-based template languages, such as Smarty or Django, you should feel right at home with Jinja2. It's both designer and developer friendly by sticking to Python's principles and adding functionality useful for templating environments.

python3-jedi-0.19.1-6.lbn36.noarch: Jedi is a static analysis tool for Python that can be used in IDEs/editors. Its historic focus is autocompletion, but does static analysis for now as well. Jedi is fast and is very well tested. It understands Python on a deeper level than all other static analysis frameworks for Python.

python3-jdcal-1.4.1-2.fc36.noarch: This module contains functions for converting between Julian dates and calendar dates. A function for converting Gregorian calendar dates to Julian dates, and another function for converting Julian calendar dates to Julian dates are defined. Two functions for the reverse calculations are also defined. Python 3 version.

python3-itypes-1.2.0-5.fc36.noarch: Simple immutable types for python. Python 3 version.

python3-isort-5.13.2-5.lbn36.noarch: Python utility / library to sort Python imports. Python 3 version.

python3-isomd5sum-1.2.3-15.fc36.x86_64: The isomd5sum package contains utilities for implanting and verifying an md5sum implanted into an ISO9660 image.

« Previous 20 items Next 20 items » 1 ... 159 160 161 162 163 164 165 ... 2425


	Copyright © 2000-2025 Corporation of Balclutha Inc. All rights reserved.

Sections

Modified items