SfePy solves partial differential equations with finite elements, flexible weak forms, mesh regions, boundary conditions and solver tools.
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SfePy solves partial differential equations with finite elements, flexible weak forms, mesh regions, boundary conditions and solver tools.
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PyMC supports Bayesian statistical modelling with MCMC sampling, variational inference, posterior diagnostics and predictive simulation.
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Pyomo models optimisation with variables, constraints, objectives, solver interfaces, stochastic programming and differential equations.
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JAX supports accelerated numerical computing with automatic differentiation, compilation, vectorisation and multi-device parallelism.
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This article recommends free books which will teach you the basics of R, how to produce amazing plots, how to apply R to lots of disciplines, and how to efficiently program in R. Many of the books are open source.
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statsmodels provides statistical models, regression, time-series forecasting, hypothesis testing, econometrics and model diagnostics.
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mpmath provides arbitrary-precision real and complex arithmetic, special functions, numerical integration, solvers and linear algebra.
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ADiPy is an open source Python automatic differentiation library. It’s a simple tool for handling arbitrary order automatic differentiation.
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patsy converts statistical formulas into design matrices with categorical contrasts, spline bases and reusable data transformations.
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NumPy provides multidimensional arrays, broadcasting, linear algebra, random sampling and efficient numerical operations for data analysis.
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SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
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SageMath integrates computer algebra, number theory, combinatorics, numerical mathematics, plotting and interactive mathematical work.
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Best Free and Open Source Linux Software covering physics, chemistry, biology, mathematics, data analysis, statistics, astronomy, weather, and more.
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To provide an insight into the quality of software that is available, we have compiled a list of 42 high quality Linux scientific applications, covering a broad spectrum of uses. There’s a mix of graphical and console based applications included. Hopefully, there will be something of interest for all types of users.
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