Internationalized Domain Names in Applications (IDNA)
A library to support the Internationalised Domain Names in Applications (IDNA) protocol as specified in RFC 5891 http://tools.ietf.org/html/rfc5891. This version of the protocol is often referred to as “IDNA2008” and can produce different results from the earlier standard from 2003.
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Reusable core utilities for various Python Packaging interoperability specifications. This library provides utilities that implement the interoperability specifications which have clearly one correct behaviour (eg: PEP 440) or benefit greatly from having a single shared implementation (eg: PEP 425). The packaging project includes the following: version handling, specifiers, markers, requirements, tags, utilities.
Python library for non-blocking use of Jabber/XMPP
python-nbxmpp is a Python library that provides a way for Python applications to use Jabber/XMPP networks in a non-blocking way. Features: - Asynchronous - ANONYMOUS, EXTERNAL, GSSAPI, SCRAM-SHA-1, DIGEST-MD5, PLAIN, and X-MESSENGER-OAUTH2 authentication mechanisms. - Connection via proxies - TLS - BOSH (XEP-0124) - Stream Management (XEP-0198)
Python library for internationalized usernames and passwords
If you want your application to accept Unicode user names and passwords, you must be careful in how you validate and compare them. The PRECIS framework makes internationalized user names and passwords safer for use by applications. PRECIS profiles transform Unicode strings into a canonical form, suitable for comparison. This Python module implements the PRECIS Framework as described in: PRECIS Framework: Preparation, Enforcement, and Comparison of Internationalized Strings in Application Protocols (RFC 8264) Preparation, Enforcement, and Comparison of Internationalized Strings Representing Usernames and Passwords (RFC 8265) Preparation, Enforcement, and Comparison of Internationalized Strings Representing Nicknames (RFC 8266)
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.