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python3-pygments-2.18.0-2.lbn36.noarch: Pygments is a generic syntax highlighter suitable for use in code hosting, forums, wikis or other applications that need to prettify source code. Highlights are: * a wide range of over 500 languages and other text formats is supported * special attention is paid to details that increase highlighting quality * support for new languages and formats are added easily; most languages use a simple regex-based lexing mechanism * a number of output formats is available, among them HTML, RTF, LaTeX and ANSI sequences * it is usable as a command-line tool and as a library

python3-pyglet-1.5.23-1.fc36.noarch: This library provides an object-oriented programming interface for developing games and other visually-rich applications with Python. pyglet has virtually no external dependencies. For most applications and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. It also handles multiple windows and fully aware of multi-monitor setups. pyglet might be seen as an alternative to PyGame.

python3-pygithub-2.3.0-1.lbn36.noarch: PyGitHub PyGitHub is a Python library to access the GitHub REST API. This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications. Install pip install PyGithub Simple Demo from github import Github from github import Auth auth = Auth.Token("access_token") g = Github(auth=auth) g = Github(base_url="https:/{hostname}/api/v3", auth=auth) for repo in g.get_user().get_repos(): print(repo.name) g.close() Documentation More information can be found on the PyGitHub documentation site. Development Contributing Long-term discussion and bug reports are maintained via GitHub Issues. Code review is done via GitHub Pull Requests. For more information read CONTRIBUTING.md. Main

python3-pygit2-1.7.1-3.fc36.x86_64: pygit2 is a set of Python bindings to the libgit2 library, which implements the core of Git. The python3-pygit2 package contains the Python 3 bindings.

python3-pyflakes-3.0.1-1.lbn36.noarch: Pyflakes A simple program which checks Python source files for errors.Pyflakes analyzes programs and detects various errors. It works by parsing the source file, not importing it, so it is safe to use on modules with side effects. It's also much faster.It is available on PyPI < and it supports all active versions of Python: 3.6+.Installation It can be installed with:: $ pip install --upgrade...

python3-pydot-1.4.2-1.fc36.noarch: An interface for creating both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported (up to Graphviz 2.16). Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi.

python3-pydocstyle-6.3.0-1.lbn36.noarch: pydocstyle - docstring style checker :target:

python3-pycurl-7.45.1-1.fc36.x86_64: PycURL is a Python interface to libcurl. PycURL can be used to fetch objects identified by a URL from a Python program, similar to the urllib Python module. PycURL is mature, very fast, and supports a lot of features. Python 3 version.

python3-pycryptodomex-selftest-3.15.0-1.fc36.x86_64: PyCryptodome is a self-contained Python package of low-level cryptographic primitives. It's a fork of PyCrypto. It brings several enhancements with respect to the last official version of PyCrypto (2.6.1), for instance: * Authenticated encryption modes (GCM, CCM, EAX, SIV, OCB) * Accelerated AES on Intel platforms via AES-NI * Elliptic curves cryptography (NIST P-256 curve only) * Better and more compact API (nonce and iv attributes for ciphers, automatic generation of random nonces and IVs, simplified CTR cipher mode, and more) * SHA-3 (including SHAKE XOFs) and BLAKE2 hash algorithms * Salsa20 and ChaCha20 stream ciphers * scrypt and HKDF * Deterministic (EC)DSA * Password-protected PKCS#8 key containers * Shamir's Secret Sharing scheme * Random numbers get sourced directly from the OS (and not from a CSPRNG in userspace) * Cleaner RSA and DSA key generation (largely based on FIPS 186-4) * Major clean ups and simplification of the code base PyCryptodome is not a wrapper to a separate C library like OpenSSL. To the largest possible extent, algorithms are implemented in pure Python. Only the pieces that are extremely critical to performance (e.g. block ciphers) are implemented as C extensions. Note: all modules are installed under the Cryptodome package to avoid conflicts with the PyCrypto library. This package provides the PyCryptodome test suite module (Cryptodome.SelfTest).

python3-pycryptodomex-3.15.0-1.fc36.x86_64: PyCryptodome is a self-contained Python package of low-level cryptographic primitives. It's a fork of PyCrypto. It brings several enhancements with respect to the last official version of PyCrypto (2.6.1), for instance: * Authenticated encryption modes (GCM, CCM, EAX, SIV, OCB) * Accelerated AES on Intel platforms via AES-NI * Elliptic curves cryptography (NIST P-256 curve only) * Better and more compact API (nonce and iv attributes for ciphers, automatic generation of random nonces and IVs, simplified CTR cipher mode, and more) * SHA-3 (including SHAKE XOFs) and BLAKE2 hash algorithms * Salsa20 and ChaCha20 stream ciphers * scrypt and HKDF * Deterministic (EC)DSA * Password-protected PKCS#8 key containers * Shamir's Secret Sharing scheme * Random numbers get sourced directly from the OS (and not from a CSPRNG in userspace) * Cleaner RSA and DSA key generation (largely based on FIPS 186-4) * Major clean ups and simplification of the code base PyCryptodome is not a wrapper to a separate C library like OpenSSL. To the largest possible extent, algorithms are implemented in pure Python. Only the pieces that are extremely critical to performance (e.g. block ciphers) are implemented as C extensions. Note: all modules are installed under the Cryptodome package to avoid conflicts with the PyCrypto library.

python3-pycrypto-2.6.1-1.lbn36.x86_64: Python Cryptography Toolkit (pycrypto) ====================================== This is a collection of both secure hash functions (such as SHA256 and RIPEMD160), and various encryption algorithms (AES, DES, RSA, ElGamal, etc.). The package is structured to make adding new modules easy. This section is essentially complete, and the software interface will almost certainly not change in...

python3-pycparser-2.22-1.lbn36.noarch: pycparser is a complete parser for the C language, written in pure Python. It is a module designed to be easily integrated into applications that need to parse C source code.

python3-pycountry-23.12.7-2.lbn36.noarch: pycountry provides the ISO databases for the standards: * 639-3 Languages * 3166 Countries * 3166-3 Deleted countries * 3166-2 Subdivisions of countries * 4217 Currencies * 15924 Scripts

python3-pycodestyle-2.10.0-2.lbn36.noarch: pycodestyle is a tool to check your Python code against some of the style conventions in PEP 8. It has a plugin architecture, making new checks easy, and its output is parseable, making it easy to jump to an error location in your editor. This is a version for Python 3.

python3-pycares-4.3.0-1.fc36.x86_64: pycares is a Python module which provides an interface to c-ares. c-ares is a C library that performs DNS requests and name resolutions asynchronously.

python3-pybeam-0.7-2.fc36.noarch: Python module to parse Erlang BEAM files.

python3-pyatspi-2.38.2-2.fc36.noarch: at-spi allows assistive technologies to access GTK-based applications. Essentially it exposes the internals of applications for automation, so tools such as screen readers, magnifiers, or even scripting interfaces can query and interact with GUI controls. This package includes a python3 client library for at-spi.

python3-pyasn1-modules-0.6.0-2.lbn36.noarch: ASN.1 types modules for python3-pyasn1.

python3-pyasn1-0.6.0-2.lbn36.noarch: This is an implementation of ASN.1 types and codecs in the Python 3 programming language.

python3-pyannotate-1.2.0-1.lbn36.noarch: PyAnnotate: Auto-generate PEP-484 annotations Insert annotations into your source code based on call arguments and return types observed at runtime.For license and copyright see the end of this file.Blog post: to use See also the example directory.Phase 1: Collecting types at runtime - Install the usual way (see "red tape" section below) - Add from pyannotate_runtime import collect_types to...

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