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  1. en.wikipedia.org › wiki › Julia_(programming_language)Julia (programming language) - Wikipedia

    Há 2 dias · Julia is a high-level, general-purpose dynamic programming language, most commonly used for numerical analysis and computational science.

  2. cyberogism.com › julia-data-science-machine-learningExploring Julia: The Rising Star in Data Science and Machine ...

    Há 15 horas · Interoperability: Julia’s ability to interface with other programming languages like Python, R, and C++ enhances its utility in diverse environments, enabling smooth shifts and integrations. Community and Ecosystem Growth : The expanding open-source community continuously contributes to Julia’s ecosystem, fostering the development of innovative libraries and tools tailored for data science ...

  3. docs.opencv.org › 4 › d8OpenCV: Introduction to Julia OpenCV Binding

    Há 3 dias · Julia is a high-performance, high-level, and dynamic programming language that specializes in tasks relateted numerical, and scientefic computing. However, It can also be used for general programming with GUI and web programming.

  4. en.wikipedia.org › wiki › Comparison_of_integratedComparison of integrated development environments - Wikipedia

    Há 4 dias · Comparison of integrated development environments. The following tables list notable software packages that are nominal IDEs; standalone tools such as source-code editors and GUI builders are not included. These IDEs are listed in alphabetic order of the supported language.

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  6. entri.app › blog › julia-vs-pythonJulia vs. Python: Main Differences and What to Choose - Entri

    Há 3 dias · One of Julia’s main objectives was to create a language that would enable programmers to swiftly produce the low-level machine code typical of static languages while simultaneously enabling them to write code that is succinct, high-level, general, and abstract—much like mathematical formulae.

  7. discourse.julialang.org › t › slow-cubatureSlow cubature - Numerics - Julia Programming Language

    Há 4 dias · I’m trying the perform a numerical integration over 4-dimensions. Here is a self-contained example: import HCubature using StaticArrays: SMatrix using StaticArrays: SVector using LinearAlgebra: Symmetric using LinearAlg…

  8. discourse.julialang.org › t › how-to-determine-whenHow to determine when to broadcast - New to Julia - Julia ...

    Há 3 dias · New to Julia. I have some code that needs to perform a setindex!(A::Array, X::Float64, Indices) using A[Indices...] = X or broadcasting A[Indices...] .= X. Right now until that is called I don’t know if Indices will be a Vector of Ints or a Vector of Vector of Ints (when I need to broadcast).