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Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.

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Introducation-to-julia

  • Julia is a high-level, high-performance, dynamic programming language.
  • While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.
  • Distinctive aspects of Julia's design include a type system with parametric polymorphism in a dynamic programming language; with multiple dispatch as its core programming paradigm.
  • Julia supports concurrent, (composable) parallel and distributed computing (with or without using MPI and/or the built-in corresponding to "OpenMP-style" threads), and direct calling of C and Fortran libraries without glue code.
  • A just-in-time compiler that is referred to as "just-ahead-of-time" in the Julia community is used.
  • Julia is garbage-collected uses eager evaluation, and includes efficient libraries for floating-point calculations, linear algebra, random number generation, and regular expression matching.
  • Many libraries are available, including some (e.g., for fast Fourier transforms) that were previously bundled with Julia and are now separate.
  • Julia programs by typing directly in the REPL Read–Eval–Print Loop (REPL)

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Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.

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