The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.
boost_graph tried to wrap the C++ Boost Graph library in Python, providing graph algorithms like Breadth First Search, DFS, Shortest Path, Topological sort. This project is dead (http://bayleshanks.com/pamv1)
Geomatrix, collection of C/C++ libraries to be used for symbolic description of n-dimensional geometric models. Operates internally with a representation that constructs complex objects based on primitives, allowing loss-less modifcation of models.
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Tim Peters' FixedPoint.py
+ Write docs for the Library Reference manual. I expect the existing
module docstring will be a good start.
+ Create a test driver for Python's regression suite.
+ Have fun modernizing it, if you like (for example,
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Mathfun.py is a Pythonlibrary that contains those little bits of mathemagical ideas that we all enjoy. Primes, prime factorization, Fibonacci sequences, string2value functions...
A library for handling vectors, tensors, and more.
VectTens is an object-oriented numerical library designed to manipulate vectors, tensors, and other mathematical quantities in a simple and efficient manner.
libGo is a C++ class library containing all kinds of
things that proved useful to me.
Included are:
- Linear algebra, using LAPACK and CBLAS
- V4L(1) image grabber
- Multithreading
- Image containers (up to 3D)
- Some simple optimisation code
- Python embedding helper
- Matlab interface
- .. and other things, have a look at the HTML documentation!
Dasema is a compact C++ library for interpreting mathematical formula and applying them to data points/sets. It supports multiple variables and comes with a tool for benchmarking, a C++ GNU-like frontend as proof-of-consept and SWIG interface to Python.