Modern Fortran Relevance
Comments defend modern Fortran's advantages for numerical and scientific computing, emphasizing its performance, array handling, and use in HPC over languages like C++, Python, and Julia.
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Fortran has modern versions and is much nicer for writing numerical code than C, C++, Rust, etc...
How it's better than Fortran?
How would Fortran be used other than numerics/scientific computing?
I'm going to take this in good faith and assume that you are thinking of old school FORTRAN77. Modern Fortran (90 and onwards) is a very different language in many ways whilst maintaining high backwards compatibility. You should check out modern versions of the language and code examples.Fortran is a language more suited for numerical computing than C++. Modern Fortran is simpler, more maintable and more easily optimised than C++. Yes one could pick a subset of C/C++ and write fast
meanwhile, fortran is also underneath modern numerical programming in other languages
As a computational scientist who knows C, Fortran, IDL, MATLAB, Mathematica, Pascal, Python, and R for about two decades, I can tell you that the unique advantage of (modern) Fortran (2008/2018) over any other languages mentioned here is in its great flexibility and high-performance for numerical computing and basically any mathematical problem. It has a coding and syntax flexibility comparable to MATLAB and Python, but the runtime speed of C, and in many cases, beyond C. It is the only hig
FORTRAN is easier to optimize than something like C so is much used for numerical computation
Perhaps you were working with FORTRAN77 not Fortran >2003. No other language beats Fortran's syntax for numerical computing. Anyone who claims otherwise, does not really know modern Fortran. Basically, anything nice that one may find about Python, MATLAB, or even C++ Eigen library for numerical computing has been inherited from Fortran.
Good replies already. Also note that modern Fortran is an array language like Julia or Numpy, with parallel processing built in.
Fortran is still popular in scientific computing, and modern compilers are pretty good.