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Linear optimization in Python, Part 2: Build a scalable architecture in the cloud
Creating scalable and parallelizable code in a scripting language like Python requires careful thought. This series explores ways to model optimization applications in Python using Pyomo, an open source tool that can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Part 1 covers the basics of modeling optimization applications using Pyomo and Python. This article shows how to scale a Python linear optimization horizontally by combining Pyomo with the Tornado web server, and using RabbitHQ as the message bus between the layers.
Also available in: Chinese  
Articles 20 Feb 2013
Linear optimization in Python, Part 1: Solve complex problems in the cloud with Pyomo
Explore ways to model optimization applications in Python using Python Optimization Modeling Objects (Pyomo), an open source tool. You can use Pyomo to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. This article series shows how to leverage Pyomo's ability to integrate with Python to model optimization applications. This first article covers the basics. Part 2 shows how to add more tools and build a scalable architecture.
Also available in: Chinese  
Articles 05 Feb 2013

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