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Julia provides asynchronous I/O, metaprogramming, debugging, logging, profiling, a package manager, and more. One can build entire Applications and Microservices in Julia.

Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming.

Julia is a high-level, high-performance dynamic language for technical computing. The main homepage for Julia can be found at julialang.org. This is the GitHub repository of Julia source …

Learn how to add, delete and replace items in Julia arrays; how to find and remove duplicates in an array; how to join or intersect two arrays, and more. Julia can be used for fast web …

Oct 30, 2022 · A comprehensive introductory tutorial that will help you master the fundamentals of Julia. Learn about operators, conditional statements, working with DataFrames, and more.

Julia is a high-level, general-purpose [17] dynamic programming language designed to be fast and productive, [18] e.g., for data science, artificial intelligence, machine learning, modeling and …

Jan 18, 2023 · Julia is a high-level, high-performance dynamic programming language. It combines the ease of use of scripting languages like Python with the speed and efficiency of …