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We examine the history of Artificial Intelligence, from its audacious beginnings to the current day. We argue that constraint programming (a) is the rightful heir and modern-day descendent of that early work and (b) offers a more stable and reliable platform for AI than deep machine learning.

We offer a tutorial on constraint programming solvers that should be accessible to most software developers. We show how constraint programming works, how to implement constraint programming in Python, and how to integrate a Python constraint-programming solver with other Python code.

To install from PyPi: `pip install pylog``

If you are editing pylog source, running tests, or building installable packages for upload to PyPi, install as an editable install with test and buid prequisites:

pip install -e .[test,build] from the project root directory. If you don't want to run tests or build an installable package, pip install -e .

To build the installable package for upload: py -m build from the project root.

To run the tests, run them from the project root: pytest