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Tutorial 1- Introduction To Julia Programming Language For Machine Learning

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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 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[19] and/or the built-in corresponding[clarification needed][20] to "OpenMP-style" threads),
and direct calling of C and Fortran libraries without glue code. Julia uses a just-in-time (JIT) compiler that is referred to as "just-ahead-of-time" (JAOT) in the Julia community, as Julia compiles (on default settings) to machine code before running it.
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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[19] and/or the built-in corresponding[clarification needed][20] to "OpenMP-style" threads),
and direct calling of C and Fortran libraries without glue code. Julia uses a just-in-time (JIT) compiler that is referred to as "just-ahead-of-time" (JAOT) in the Julia community, as Julia compiles (on default settings) to machine code before running it.
All Playlist In My channel
Please donate if you want to support the channel through GPay UPID,
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
Please do subscribe my other channel too
Connect with me here:
#JuliaForMachineLearning
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