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Attention! First of all (before learning our soft doc) it is highly recommended to obtain basic experience with Python language (function definitions via def and lambda, basic types - list, tuple, set) and NumPy (creation of arrays and primary operations over them - summation, multiplication, dot, sin, cos, etc). You could take a look at our very brief and tentative Python Introduction (it will hardly take more than 5-10 minutes) and more detailed Google's Python Class.

For the list of problems/solvers available in OpenOpt framework and related examples see OpenOpt problems tree:

• FAQ (Frequently Asked Questions)
• OpenOpt framework documentation
• FuncDesigner and its documentation
• SpaceFuncs and its documentation
• DerApproximator and its documentation
• Parallel calculations available in Python language and our soft
• Sparse matrices
• Using Python with other programming languages
• Export LP/MILP coded in OpenOpt or FuncDesigner to MPS format files
• Using OOSuite with PyPy