D For Data Science: Calling R from D

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D is a good language for data science. The advantages include a pleasant syntax, interoperability with C (in many cases as simple as adding an #include directive to import a C header file via the dpp tool), C-like speed, a large standard library, static typing, built-in unit tests and documentation generation, and a garbage collector … Continue reading D For Data Science: Calling R from D

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