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Works fine in Fortran, R, and Julia. People do pretty complex stuff in these languages and two of them are compiled.

• cyberax 3y ago
  It's not an insurmountable barrier, for sure. Just something that makes it very annoying in a lot of code. While not really making it easier anywhere.
  • NeuroCoder 3y ago
    I've been working on a PR to document and make atomic pointer interface public in Julia. It's really not that hard to handle it under the hood so that array indexing and translates to LLVM and C zero indexing.
  • goatlover 3y ago
    Weird then that scientific computing languages prefer 1 based arrays. Maybe can show how it's very annoying in lots of Fortran or Julia code?
    • cyberax 3y ago
      Python is as much a "scientific computing language" as anything, and it's zero-based.
      • da39a3ee 3y ago
        You haven’t shown how it’s “very annoying” in R, Fortran, and Julia.
      • goatlover 3y ago
        Not really, the core language is general purpose. It's Python's scientific libraries and ecosystem which became popular.
    • mananaysiempre 3y ago
      > Weird then that scientific computing languages prefer 1 based arrays. Not really when the code is routinely transcribed from papers, and the ages-old convention throughout mathematics is one-based indexing, both bounds of the interval included. (With the notable exception of Euler’s beta and gamma functions.) Of course, in a paper intended for a human reader the occasional off-by-one error is much less dire than in code, so the author is freer to use a more error-prone convention. I once had to translate from a one-based paper to zero-based Python code (with the added bonus of different discrete Fourier conventions *shudder*), and it’s remarkably annoying even if the resulting code is more obviously correct than the paper’s original formulas.