Python Mathematics Software

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Browse free open source Python Mathematics Software and projects below. Use the toggles on the left to filter open source Python Mathematics Software by OS, license, language, programming language, and project status.

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  • 1
    Pena is an acronym for "Pena Encryption for Automata". This framework will help you to run encrypted representations of programs.
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  • 2
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  • 3
    PetriKit is a modular toolkit for Petri Net analysis. It allows the extraction of basic properties, extraction of invariants, and generation of reachability graph. Results can be formatted in plain text, HTML or XML files.
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  • 4
    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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  • 5

    Pi-Trav

    An interactive pi walk.

    A simulation and visualization of random walks based on the digits pi. This program also has a settings menu.
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  • 6
    A python program that can be used to investigate a set of equilateral polyhedra containing heptagons.
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  • 7
    C and Python code for basic probability and statistics contains classes for Combination, Permutation, and Cartesian Product.
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  • 8
    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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  • 9

    PyDQP

    Distributed QP Solver in Python

    PyDQP implementes 11 different dual decomposition schemes, both first and second order, in order to solve quadratic programs in a distributed fashion.
    Downloads: 0 This Week
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  • 10

    PyGAO

    Genetic Algorithm Optimization for Python

    A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. In addition to the standard Python libraries, PyGAO uses numpy.
    Downloads: 0 This Week
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  • 11
    PyGTS is a python package used to construct, manipulate, and perform computations on triangulated surfaces. It is a hand-crafted and pythonic binding for the GNU Triangulated Surface (GTS) Library. THIS PROJECT IS NOT BEING MAINTAINED.
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  • 12
    PyGiNaC is a Python interface to the C++ symbolic math library GiNaC (www.ginac.de). Its design attempts to be an easy to use and convenient alternative to cint or ginsh.
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  • 13
    PyGraphMath is a system for the manipulation of symbolic and numerical expr., equations, vectors .. (Maxima). Main focus lies on direct 3D graphical viewport (openGL) which displays math objects. Syntax is "pseudo-python" and supports objects, loops .. *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** OBSOLETE: please use instead http://www.sagemath.org/ with PyODE (or pyphyssim/PPE) *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
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  • 14
    This will be a place to release tools that have not yet been added to SciPy (or will not be added for whatever reason). Currently an interface to ImageMagick is here.
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  • 15
    PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.
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  • 16
    PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
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  • 17
    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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  • 18
    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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  • 19

    PyParticles

    PyParticles is an opensource particles simulation tool box entirely wr

    PyParticles is an opensource particles simulation tool box entirely written in python. It support the most popular integrations methods and the most relevant forces model. It also offer a nice looking OpneGL interface or at your preference a Matplotlib based GUI. PyParticles as a forces models implements Gravity, spring, constant force and electrostatic and the user defined vector field force. As a integrations method it includes Euler, Midpoint, Runge Kutta, Störmer Verlet and Leap frog.
    Downloads: 0 This Week
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  • 20
    PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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  • 21
    PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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    Downloads: 0 This Week
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  • 22
    A module containing python wrappers for the SUite of Non-linear DIfferential/ALgebraic Solvers (SUNDIALS), using ctypes.
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  • 23
    PySparse - Python Sparse Matrix Library
    PySparse - A Sparse Matrix Library for Python
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  • 24
    PyTorch Geometric

    PyTorch Geometric

    Geometric deep learning extension library for PyTorch

    It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations.
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  • 25
    Tk-based standalone graphing system and extensible graphing library with a huge range of 2d modes (maybe 3d soon?) written in Python (Python/Tk are 100% cross platform)
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