JULIA Programming language

Today we will be discussing about a new programming language called JULIA. Scientific computing has historically needed the very best performance, nonetheless domain consultants have mostly affected to slower dynamic languages for daily simplifying our work. we tend to believe there are several smart reasons to like dynamic languages for these applications, and we don’t expect their use to diminish. fortuitously, fashionable language style and compiler techniques create it potential to largely eliminate the performance trade-off and supply one setting productive enough for prototyping and economical enough for deploying performance-intensive applications.
The JULIA programming language fills this role: it’s a versatile Dynamic language, acceptable for scientific and numerical computing, with performance appreciate ancient statically-typed languages. A further feature of JULIA is its speed. JULIA complies codes on the fly, reaching an improbable rate.
JULIA combines the strategy of deciphering languages, like Python, that re-model the code into byte code on the fly, with compiled languages (C/Fortran), that compile their code into code and so running the result practicable. This approach permits JULIA to provide similar speeds to C, whereas having a code like Python or MATLAB.

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