Open Source Python Mathematics Software
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Python Mathematics Software
View 2678 business solutionsBrowse 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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Easy Equations
Hand Written Equation Creator
Easy Equations is a utility using which one can write the mathematical equations. The focus of this utility is to provide user friendly access to write mathematical equations which is helpful for students, lecturers, mathematicians and Research persons who prefer using mathematical equations in a document, PowerPoint or web sites. Works on Windows as well as Linux platforms. Software Requirements: JDK 7 or higher. Linux Platform with kernel version 2.7 or higher.(for Linux users).python necessary only in linux environment to use COPY functionality.python is pre installed in recent linux distributions. -
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NGmp is a C# C++ Java Python VB.NET etc. etc. binding of GMP and MPFR multi-precision number libraries. With support of Microsoft .NET or Novell Mono runtime NGmp will run on mutliple platforms. It is faster than other libraries available on .NET or Mono
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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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jLab est une plate-forme scientifique destinée à être l'outil de travail privilégié des étudiants, enseignants, ingénieurs, scientifiques et chercheurs. jLab est totalement modulaire et facilement extensible via un système de modules
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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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memesa-tools
A collection of tools used in the enumeration of solution spaces
This collection of tools forms the basis of a pipeline for the complete enumeration of the number of solutions present in a model that maximizes a single objective function.
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