Re:Algorithms for Modern Hardware
by adgjlsfhk1 on Saturday March 16, 2024 @05:23PM
(#39729599)
the semantics make aot compiling based speedup basically impossible. Python is just way too dynamic to do anything with. If you need speed and nice language features, you're much better off using a high level language that has better semantics for speed. Julia is my preferred option, but Lua and a few others fit this niche well.
Re:Algorithms for Modern Hardware
by throwaway2037 on Sunday March 17, 2024 @03:05AM
(#39732496)
> then write new software in ... electron
And about Python: Almost no one is doing CPU intensive work in pure Python. They are using C-language extensions like Pandas, NumPy, etc.
> How much does an enterprise desktop PC with a 3+GHz CPU cost? Surely less than 2K USD. How much does a developer cost?
But the software runs on the computers of all of their users. How much money do their users' computers cost? If you have just 10k users, probably $10M or so? But software companies don't pay for my computer's resources. The money I need to spend on computer hardware isn't priced in to your calculus at all. They don't care.
I find it pretty frustrating and sad.
Python has a REPL, Duck typing and hooks for many libraries including gui libraries.
Electron is basically a browser you can program via JavaScript with everything you'll ever need to make a gui application.
They both make a lot of sense when you consider the alternatives. However, I do wonder why there isn't yet an option to AOT compile python and electron projects into fast executables.