By Ammar Sajdi
Well, Do not get too excited, Julia is a programming language. It saw the light on Valentine’s Day, 2012.
While it can be an effective general-purpose programming language, the real strength of Julia is the fact that provides for high-performance, parallel, and distributed computing.
Well parallel and distributed caught my attention, I never wrote a program that can unleash the power of parallel computing. I looked at the language, and it is really easy to do parallel computing. This makes it suitable for applications that involve intense numerical analysis
if you want to know what people think of Julia refer to
https://www.quora.com/What-is-your-take-on-Julia-language
someone said
There was never a doubt in my mind that Julia is good, probably the best language for the future, will succeed/already has for the scientific audience (as clearly better than all alternatives, for performance work where you also want to be "dynamic"). It's estimated to have exponential growth of users, doubling every 9 months now, estimated at 100,000 users, with I forget how many downloads per day. Look it up (it's in a video on YouTube, from one of the key Julia people).
I'm sure the rest of (non-HPC) programmers will eventually clue up, and use it as the general language that it is.
https://www.quora.com/Is-Julia-programming-language-growing-fast
finally, I met a young relative of mine who is studying Engineering at Stanford, and part of the industrial engineering curriculum is to take a course in Julia programming.
Well, Do not get too excited, Julia is a programming language. It saw the light on Valentine’s Day, 2012.
While it can be an effective general-purpose programming language, the real strength of Julia is the fact that provides for high-performance, parallel, and distributed computing.
Well parallel and distributed caught my attention, I never wrote a program that can unleash the power of parallel computing. I looked at the language, and it is really easy to do parallel computing. This makes it suitable for applications that involve intense numerical analysis
if you want to know what people think of Julia refer to
https://www.quora.com/What-is-your-take-on-Julia-language
someone said
There was never a doubt in my mind that Julia is good, probably the best language for the future, will succeed/already has for the scientific audience (as clearly better than all alternatives, for performance work where you also want to be "dynamic"). It's estimated to have exponential growth of users, doubling every 9 months now, estimated at 100,000 users, with I forget how many downloads per day. Look it up (it's in a video on YouTube, from one of the key Julia people).
I'm sure the rest of (non-HPC) programmers will eventually clue up, and use it as the general language that it is.
https://www.quora.com/Is-Julia-programming-language-growing-fast
finally, I met a young relative of mine who is studying Engineering at Stanford, and part of the industrial engineering curriculum is to take a course in Julia programming.
EDIT Sept 18, 2024: So far it seems that Julia's programming language is not picking up as I thought. People still prefer to use Python. Julia could still be needed in certain situations like distributed and parallel processing.
https://www.reddit.com/r/Julia/comments/18s0ubz/is_julia_programming_language_destined_to_fade/
rgds
rgds
Ammar Sajdi - REALSOFT
1 comment:
very interesting keep posting. question and answer forum
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