Open Source Python Mathematics Software - Page 5
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Python Mathematics Software
View 203 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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Graphical representation of fractals, IFS's, strange attractors,L-systems and generally chaos theory aspects.
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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
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Chi Square Calculator
An unlimited calculator for Chi Squared
This Chi Squared Calculator allows the user to enter any number of rows and columns, enter the observed frequencies used in the calculation, and the program will output the answer, as well as the degrees of freedom. This program runs on Python 3.2 ## BUT NO LONGER REQUIRES PYTHON to run! (Now in .exe form!) ## Sorry for the lack of floating point (Decimal) numbers support; attempting to input decimals will crash the program. Will fix soon! If you need any help, information, my email is: max-j-anderson@hotmail.co.uk -
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An experimental language designed to be very simple, but expressive enough to represent mathematical constructions and have strong introspective capabilities.
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CoLabR
A simple user interface to the R software environment.
A simple user interface to the R software environment. It is designed for people new to R and provides the user with easy access to their variables and data along with pointers to the most basic commands. It also allows for multiple people to share data across different sessions on different machines. In this way it also offers a collaborative environment for people to work together in remote locations. -
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CutePy
Lightweight Qt-based Python console with variable explorer and history
CutePy is a lightweight Qt-based Python 3 console with variable explorer, command history, syntax highlighting and customizable startup script. Originally it was developed for simple scientific calculations as a replacement for e.g. Windows calculator or Python IDLE. Therefore its main aim is to start fast and provide more comfortable dealing with variables based on the Python language. However in the end it is a regular Python console and therefore can be used for almost any task. -
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DEAPathways
Differential Expression Analysis for Pathways
This project contains the source code associated with the PLoS Computational Biology publication: "Differential Expression Analysis for Pathways". The paper text can be found here: http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002967 -
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DEBay
Deconvolutes qPCR data to estimate cell-type-specific gene expression
DEBay: Deconvolution of Ensemble through Bayes-approach DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types in the sample. The user manual of DEBay: https://sourceforge.net/projects/debay/files/UserManual.pdf Sample data: https://sourceforge.net/projects/debay/files/Test_data/ Citation Information: Vimalathithan Devaraj, Biplab Bose. DEBay: A computational tool for deconvolution of quantitative PCR data for estimation of cell type-specific gene expression in a mixed population. Heliyon, 2020, 6(7), e04489. https://doi.org/10.1016/j.heliyon.2020.e04489 -
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DeDAY
MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.
DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and in-dependent mortality. Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users. -
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A Python package that provides classes and tools for dealing with dimensional quantities. Includes a parser for the quantity language (i.e. calculates "3 meters per second in miles per hour") and a class for constructing matrices containing dimensions.
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Discursive Dilemma
Optimal Decision Rules for the Discursive Dilemma
Accompanying software for the paper "Optimal Decision Rules for the Discursive Dilemma", by A. Alabert, M. Farré and R. Montes (https://arxiv.org/abs/2210.13100). Computes a ranking of the best decision rules according to a quantitative criterion based on the minimisation of the combined probabilities of false positives and false negatives -
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Latex editor with document structure tree view and project handling. Latex output allows direct jump to warnings/errors. Projects folders gives support for figures/graphs. Editor component includes usual features like search/replace and syntax highlight.
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DragonFire is a compilation of various mathamatical formulas and theorms from algebra (and soon, Calculus). It shows users the formula for them to learn/use, or lets them enter data for DragonFire to compute.
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A Python library bringing together utilities I've written over the years for work in bioinformatics and biostatistics, which should be generally applicable outside these fields as well. Focuses on string processing, DBI, and math.
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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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Ellipt2d is a finite element program for solving second order, real and complex, two-dimensional elliptic problems with user-defined operators. Because Ellipt2d is written in Python, the code can easily be adapted for specific problems.
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This App solves a system of simultaneous equations (liner or nonlinear) by using a matrix root solver. Iterations and solutions are provided by GSL (GNU science library).
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Etchimaths (ALL categories)
This is a maths solving app and study guide for various levels..
Etchimaths is a Mathematics software, a helping tool for Mathematics simulation(solving) and study.It is a solving as well as a teaching software. It involves Mathematics programs at various levels of studies;they include: 1.Etchimaths(O'LEVEL) 2.Etchimaths(A'LEVEL) 3.Etchimaths(UNIVERSITY) 4.Etchimaths(BEPC/BEPC+1) 5.Etchimaths(BAC) 6.Etchimaths(UNIVERSITE) 7.Etchimaths(ULTIMATE) and more to come in future.. -
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Etchimaths(A'LEVEL)
Etchimaths(A'LEVEL) is a typical Mathematics software for A'LEVEL
Etchimaths(A'LEVEL) is a Mathematics software, a helping tool for Mathematics simulation(solving) and study for the GCE ADVANCED LEVEL standard.It is a solving machine as well as a teaching machine -
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ExoPlanet
GUI based toolkit for running common Machine Learning algorithms.
ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model. -
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Famms is a Python module for applying the method of manufactured solutions (MMS) to PDE simulators written in C/C++, Fortran, and Python.
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An object-oriented partial differential equation (PDE) solver, written in Python, based on a standard finite volume approach and includes interface tracking algorithms. *WARNING* The project is no longer using Sourceforge to maintain its repository.
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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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FractalRenderingApp
Lightweight app for visualization of Mandelbrot and Julia set
Source code is available on https://github.com/MarkoLeskovar/FractalRenderingApp
