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I' m tired of remembering of all these library invented concepts and prefer doing brainless for loops to process data in Julia.

• Demiurge 2y ago
  You’re tired, but I don’t know if I have enough brains to rewrite the API “query” from this article using brainless loops.
• __mharrison__ 2y ago
  You can do brainless for loops in Python really easily. Oh yeah, toss numba or cython on top and you are back to numpy speed...
  • xgdgsc 2y ago
    Nope they are still libraries with their own feature set that need remembering.
    • __mharrison__ 2y ago
      Ok, if you consider @jit a feature set... (Admittedly, there are more features, but in my book, I demonstrate pure Python code that runs as fast as numpy and cython with this decorator added.)
• jampekka 2y ago
  Outside relatively straightforward operations working with groups with "expressions" gets really painful. And Python gets too slow fast. And Pandas (multi-)indexing madness is a constant source of bugs and frustration. Sad that Julia is unusable for my workflows, and will likely remain so.