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Julia was designed for high performance An expanding series of short tutorials about julia, starting from the beginner level and going up to deal with the more advanced topics. Julia programs automatically compile to efficient native code via llvm, and support multiple platforms
Julia Oliver (@juliaoliver.s) on Threads
Julia is dynamically typed, feels like a scripting language, and has good support for interactive use, but can also optionally be separately compiled. Click here to learn more. Julia has quickly become one of the most powerful languages for data science, numerical computing, and machine learning
The main homepage for julia can be found at julialang.org
This is the github repository of julia source code, including instructions for compiling and installing julia, below. A dynamic language, julia is relatively easy for programmers to learn and adapt. It combines the ease of use of scripting languages like python with the speed and efficiency of compiled languages like c/c++. The official website for the julia language
Julia is a language that is fast, dynamic, easy to use, and open source
