Search Results for "python windows" - Page 9
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Showing 228 open source projects for "python windows"
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SimED is a user-friendly Differential Equation simulation software. It can integrate numerically ODEs (Ordinary Differential Equations) using several methods, plot time and phase-space diagrams for variables, and interactively choose initial conditions.
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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_.
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The main goal of this project is to create a system-independent MathML rendering engine in Python. This engine works with an abstract 'plotter' driver class, that can be subclassed for any rendering device needed.
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The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.
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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)
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Pena is an acronym for "Pena Encryption for Automata". This framework will help you to run encrypted representations of programs.
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RISO: distributed belief networks
Distributed, heterogeneous Bayesian belief networks
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions. -
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Project VDW serves as a repository for all things pertaining to Van Der Waerden sequences. Volunteers to run the distributed client, mathematicians to help with theory, and anyone interested in VDW sequences are welcome!
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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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Package for general implementation of graphs in Python. Provides generic data structures, graph operators, and common algorithms.
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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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This is a slide rule emulator based on the classic Pickett slide rule design. It is written in Python, so the name "pyckett" is appropriate. It is suitable as an example of object-oriented Python software construction, including multiple inheritance.
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VisAD is a Java component library for interactive and collaborative visualization and analysis of numerical data.
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MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.
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The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.
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Port of Numerical Python to Jython (Java Python) to support all mathematical operations (linear algebra, matrices, DSP, wavelets, FFT, arrays...) and thus compete with commercial packages such as Matlab. It can be easily embedded in Java programs.
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This project is a python module containing functions to do with matricies. The functions allow all of the standard matrix operations plus a few extras.
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This is a python module that I wrote for statistics work. It can be used to calculate various probability distributions.
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PyNaC is a Python package for coordinate-free symbolic math, based on Geometric Algebra (Clifford Algebra) and Geometric Calculus (Clifford Analysis).
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Pfem is a python-based finite element program aimed at solving solid mechanics and heat transfer problems with flexibility, efficiency and sound object-oriented design.
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pytpsa is an python implementation of the truncated Taylor series algebra. It allows to approximate analytical functions or maps to any order.
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Central schemes offer a simple and versatile approach for computing approximate solutions of non-linear systems of hyperbolic conservation laws and related PDEs.
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