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Julia was designed for high performance The julia blog discusses issues of numerical, technical, distributed and parallel computing, as well as programming language design, and how these issues touch upon the design and implementation of the julia programming language. Julia programs automatically compile to efficient native code via llvm, and support multiple platforms
Julia is dynamically typed, feels like a scripting language, and has good support for interactive use, but can also optionally be separately compiled. An expanding series of short tutorials about julia, starting from the beginner level and going up to deal with the more advanced topics. Julia, a song from the album please come home.mr
A dynamic language, julia is relatively easy for programmers to learn and adapt.
A comprehensive introductory tutorial that will help you master the fundamentals of julia Learn about operators, conditional statements, working with dataframes, and more. Juliaup is the recommended way to install julia It automatically installs the latest stable julia binary and helps keep it up to date
It also supports installing and using different versions of julia simultaneously
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