Fabio Natali: 'Python for Constraint Programming, a case study'

Fabio Natali / Director / Reckon Digital Ltd / UK. London

I am a London-based software developer and consultant. I work for Reckon Digital, a software consultancy I co-founded two years ago. At Reckon Digital we do our best to bring state-of-the-art solutions to an array of international clients from the different sectors of manufacturing, healthcare and cultural heritage. A long-time Free Software advocate, I am interested in the ethical and political implications of technology. I see cryptography and distributed systems as necessary means to defend our digital rights and our society's health.

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Python for Constraint Programming, a case study

In this talk we share our experience working on an optimisation problem for one of our clients. The problem we were asked to solve is a particular variant of the so-called job-shop problem and can be modelled as a Constraint Satisfaction Problem. We briefly describe our journey from understanding to modelling to the implementation of a Python-based solution. In particular we offer an introduction to the third-party library we used as a Constraint Programming solver and we provide some simple examples.

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Hi Fabio! Great stuff! It's nice to see you again around.