Showing 21 open source projects for "python programming"

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  • 1
    OR-Tools - Google Optimization Tools

    OR-Tools - Google Optimization Tools

    Google's software suite for combinatorial optimization

    Google Optimization Tools, also known as OR-Tools is an open-source, fast and portable software suite for solving combinatorial optimization problems. These encompass problems in vehicle routing, flows, integer and linear programming, and constraint programming. This suite contains a number of solvers, namely: a constraint programming solver; a linear programming solver; wrappers for commercial solvers (like Gurobi or CPLEX) and other open source solvers (SCIP, GLPK, etc.); among others. OR-Tools is written in C++, but comes with wrappers for Python, C# and Java. ...
    Downloads: 17 This Week
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  • 2
    PyMC

    PyMC

    Bayesian Modeling and Probabilistic Programming in Python

    PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling.
    Downloads: 0 This Week
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  • 3
    Swift Numerics

    Swift Numerics

    Advanced mathematical types and functions for Swift

    Swift Numerics is a foundational library that extends the Swift standard library with essential numerical protocols, types, and functions needed for scientific and systems programming. It defines generic abstractions over real and complex numbers so algorithms can be written once and work across concrete floating-point types. The package includes RealModule utilities and a full Complex type with the expected arithmetic and transcendental functions, bridging a long-standing gap for numerics...
    Downloads: 0 This Week
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  • 4
    NZMATH

    NZMATH

    Python Calculator on Number Theory, three-birds-one learning material

    ...This release contains several program corrections and additions obtained by writing a programming "notebook" of the book 'Lectures on Elementary Number Theory' (TAKAGI, Teiji) in Python-NZMATH language. The "notebook" is available together. It is designed for beginning students of algorithmic number theory to self-study Number Theory, Programming and scientific English together, three-birds-one learning material. It is possible only by running and reading the programs. ...
    Downloads: 1 This Week
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  • 5
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...
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    Downloads: 2,666 This Week
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  • 6
    Euler Math Toolbox

    Euler Math Toolbox

    Numerical and Symbolic Math Tool

    Euler is a powerful all-in-one numerical software and includes Maxima for seamless symbolic computations. Euler supports Latex for math display, Povray for photo-realistic 3D scenes, Python, Matplotlib and C for scripting, and contains a full programming language. Features include libraries for numerical algorithms, optimization, plotting in 2D and 3D, graphics export, a complete help system, tutorials and examples. Euler runs in Windows natively, or in Linux via Wine. It is completely free of royalties. The source is licensed under GPL.
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    Downloads: 14 This Week
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  • 7
    PortOpt

    PortOpt

    A portfolio-optimizer using Markowitz(1952) mean-variance model

    PortOpt [Portfolio Optimizer] is a C++ program (with Python binding) implementing the Markowitz(1952) mean-variance model with agent's linear indifference curves toward risk in order to find the optimal assets portfolio under risk. You have to provide PortOpt (in text files or - if you use the api - using your own code) the variance/covariance matrix of the assets, their average returns and the agent risk preference.
    Downloads: 0 This Week
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  • 8
    RPy (R from Python)
    RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions). RPy has been superseded by the RPy2 project: https://rpy2.github.io/
    Downloads: 10 This Week
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  • 9
    Python interface to ECLiPSe Constraint Logic Programming.
    Downloads: 0 This Week
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  • 10
    Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
    Downloads: 0 This Week
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  • 11
    The Generic Graphics Toolkit is a library of generic programming primitives that allow applications to be written that adapt to whatever underlying graphics system the developer is using.
    Downloads: 1 This Week
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  • 12
    ntccKMC

    ntccKMC

    ntccKMC: A Kripke-structure-based model checker for ntcc

    ntccKMC: A Kripke-structure-based linear-time-logic model checker for the Non-deterministic Timed Concurrent Constraint Programming (ntcc) calculus. Inspired by Jaime Arias' Python implementation and algorithms and Avispa's ntcc interpreter Developed by Mauricio Toro under Colciencia's React+ of the Avispa research group.
    Downloads: 0 This Week
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  • 13
    Marba
    Educative desktop application that it's main goal is develop any kind of mathematical operation in an easy and quick way. It's focus to users that don't have programming knowledge.
    Downloads: 0 This Week
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  • 14
    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.
    Downloads: 0 This Week
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  • 15
    METIL is a python-like interpreted or compiled language made for speed and generic programming, as in C++ but with static symbolic computations, type propagation, "for" surdefinition. Object orientation is centered on properties, rather than hierarchy.
    Downloads: 0 This Week
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  • 16
    Mos2Gnu is a conversion utility to generate a GNU MathProg description file, understandable by the GNU Linear Programming Kit from the proprietary X-Press Mosel's file format
    Downloads: 0 This Week
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  • 17
    APLEpy stands for Algebraic Programming Language Extension for Python. It is an open source alternative to commercial products such as AMPL and GAMS. It offers the same high level of abstraction while keeping the advantages of using Python environment.
    Downloads: 0 This Week
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  • 18
    Charlemagne is a versatile genetic programming application which includes a command-line client and an interactive console mode. It features built in input-output mapping support, and is user-extensible for complex fitness evaluation in Python and Lisp
    Downloads: 0 This Week
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  • 19
    The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.
    Downloads: 0 This Week
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  • 20
    Project to Design and Implement a new programming language. The language is named Hybrid (c), as it's nature. We "build on" existing languages (Python & others), and not start from scratch (as C++ builds on C). see Docs.
    Downloads: 0 This Week
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  • 21
    A spreadsheet/matlab-like tool for numerical programming with python.
    Downloads: 0 This Week
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