AMPL | Algebraic modeling language for complex optimization problems in large-scale computing. |
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Arduino | platform for creating interactive electronics projects, using a C/C++-based language. |
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D | Modern system programming language influenced by C++ with multiple paradigms and expressive features. |
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F# | Functional-first language on the .NET platform, known for its strong typing and multi-paradigm capabilities. |
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Fortran | Language optimized for high-performance numerical computation and scientific computing. |
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Frink | Performs physical calculations while tracking units of measure. |
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Futhark | Functional, parallel programming language optimized for high-performance GPU and CPU execution. |
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Intel Fortran | High-performance computing compiler suite from Intel, supporting multiple platforms. |
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Julia | A dynamic language designed for numerical and scientific computing with strong support for parallel computing and multiple dispatch. |
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Jupyter Notebook | Web-based interactive computational environment for creating notebook documents. |
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MATLAB | Proprietary multi-paradigm programming language and numerical computing environment. |
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Modelica | Non-proprietary, object-oriented language for modeling complex physical systems across multiple domains. |
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Natlog | A lightweight Prolog-like system designed for interoperability with deep learning tools. |
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NetLogo | Multi-agent environment for modeling complex systems. |
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Pure | Based on term rewriting, integrating symbolic computation and JIT compilation via LLVM. |
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Python | Dynamic, high-level programming language known for its easy-to-read syntax. |
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RMarkdown | Document format for creating dynamic reports by integrating R code chunks in markdown-like syntax. |
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TeX | Typesetting system for scientific and academic documents, designed by Donald Knuth. |
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Whiley | Functional and imperative language with contracts and formal specification features. |
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