A tiny collection of useful python modules for Constraint Programming, Artificial Intelligence and Data Mining, as well as Web Frameworks:
Constraint Programming:
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CPSP Tools - Constraint-based Protein Structure Prediction. The CPSP-tools package provides programs to solve exactly and completely the problems typical of studies using 3D lattice protein models. Among the tasks addressed are the prediction of globally optimal and/or suboptimal structures as well as sequence design and neutral network exploration.
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or-tools - Operations Research Tools developed at Google. This project hosts operations research tools developed at google and made available open source. The project contains multiple tools: a Constraint Programming solver; a wrapper around third party linear solvers (glpk. CLP, CBC, SCIP); Knapsack algorithms; graph algorithms (shortest paths, min cost flow, max flow, linear sum assignment).
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Gecode bindings for Python. This project provides Python bindings for the Gecode constraint programming library. It is implemented using Cython.
Artificial Intelligence:
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scikit-learn - Machine Learning in Python. Powers machine learning python projects.
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MDP - Modular toolkit for Data Processing. Especially designed for data-mining projects.
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patterns - Useful Pattern Set Mining. This project aims to serve as a general resource for researchers interested in pattern and pattern set mining.
Web Frameworks:
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Django - Web framework for perfectionists (with deadlines). Django is probably the most used web framework for python that promises rapid development and clean, pragmatic design of high-performing, elegant Web applications.
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Pylons. Pylons is a lightweight Web framework emphasizing flexibility and rapid development. It was one of the first to leverage the WSGI standard, which allows extensive re-use and flexibility but only if you need it.