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A simple Python 3 UI framework.

Project description

The PLIB3.UI package contains a simple framework for writing user interfaces in Python. The latest official release is available on PyPI at https://pypi.org/project/plib3.ui/ and the latest source code is available on Gitlab at https://gitlab.com/pdonis/plib3-ui.

The aim of PLIB3.UI is to provide two main features:

  • It lets the same high-level code work with a number of different underlying user interface toolkits, by providing higher-level abstractions of UI functions.
  • It allows you to express the layout of your UI declaratively using Python lists and dicts, and to focus on the code specific to your application with a minimum of boilerplate.

This package is intended as a replacement for the old plib.gui package, providing substantially the same underlying GUI support but with a simpler and easier to use interface.

PLIB3.UI is built using the build PEP 517 build tool with the setuputils_build backend, which uses the setuputils helper module to build the setup.cfg file that is included with the distribution. This module and build backend are available at https://gitlab.com/pdonis/setuputils3.

Installation

The simplest way to install PLIB3.UI is by using pip:

$ python3 -m pip install plib3.ui

This will download the latest release from PyPI and install it on your system. If you already have a downloaded source tarball or wheel, you can have pip install it directly by giving its filename in place of “plib3.ui” in the above command line.

Example Programs

PLIB3.UI comes with example programs that illustrate key features of the package. After installation, these can be found in the $PREFIX/share/plib3.ui/examples directory. If you have a POSIX system (Linux or Mac OSX), script wrappers to run these programs will be installed into the $PREFIX/bin directory.

The Zen of PLIB3

There is no single unifying purpose or theme to PLIB3, but like Python itself, it does have a ‘Zen’ of sorts:

  • Express everything possible in terms of built-in Python data structures.
  • Once you’ve expressed it that way, what the code is going to do with it should be obvious.
  • Avoid boilerplate code, and boilerplate data. Every piece of data your program needs should have one and only one source.

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