This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of "object interfaces" for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as implementation of the Design By Contract methodology support in Python.
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Message Identifiers for internationalization
To translate any text, we must be able to discover the source domain of the text. A source domain is an identifier that identifies a project that produces program source strings. Source strings occur as literals in python programs, text in templates, and some text in XML data. The project implies a source language and an application context. We can think of a source domain as a collection of messages and associated translation strings. We often need to create unicode strings that will be displayed by separate views. The view cannot translate the string without knowing its source domain. A string or unicode literal carries no domain information, therefore we use messages. Messages are unicode strings which carry a translation source domain and possibly a default translation. They are created by a message factory. The message factory is created by calling ``MessageFactory`` with the source domain. This package provides facilities for *declaring* such messages within program source text; translation of the messages is the responsiblitiy of the 'zope.i18n' package.
Zope Configuration Markup Language (ZCML)
The Zope configuration system provides an extensible system for supporting various kinds of configurations. It is based on the idea of configuration directives. Users of the configuration system provide configuration directives in some language that express configuration choices. The intent is that the language be pluggable. An XML language is provided by default.
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.
Easily build and distribute Python 3 packages
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.py.
zope.interface extension for defining data schemas
Schemas extend the notion of interfaces to detailed descriptions of Attributes (but not methods). Every schema is an interface and specifies the public fields of an object. A *field* roughly corresponds to an attribute of a Python object. But a Field provides space for at least a title and a description. It can also constrain its value and provide a validation method. Besides you can optionally specify characteristics such as its value being read-only or not required.