From: arne@vajhoej.dk   
      
   On 12/17/2025 11:57 AM, Dan Cross wrote:   
   > In article <10ht0rk$34qt0$2@dont-email.me>,   
   > Arne Vajhøj   wrote:   
   >> On 12/16/2025 9:05 AM, Dan Cross wrote:   
   >>> Python is interpreted, yes, but people who are using it to do   
   >>> numerical analysis are often using the jit-compiled variant,   
   >>   
   >> Most still use CPython.   
   >   
   > In your world of enterprise IT?  Sure.   
   >   
   > For numerical analysis?  Directly in Python?  No.   
   >   
   >> None of the JIT implementations PyPy, GraalPy, Codon etc. has   
   >> really gotten traction.   
      
   >> Reason: fear of compatibility issues combined with the fact that   
   >> JIT usually does not matter.   
   >>   
   >> Because:   
   >>   
   >>>                                                             and   
   >>> more often the actual heavy computational lifting is being done   
   >>> in a library that's exposed to Python via an FFI; so the actual   
   >>> training code is in Fortran or C or some more traditional   
   >>> compiled language.   
   >>   
   >> If CPython interpretation use 0.1-1.0% of total CPU usage   
   >> and native library execution use 99.0-99.9% of total CPU usage,   
   >> then ...   
   >   
   > See above.  I'm talking about software that's doing numerical   
   > analysis directly in Python, _not_ via FFI.   
      
   But practically nobody does that.   
      
   By using the high level packages (pandas, polars,   
   tensorflow, pytorch, numpy, scipy etc.) they can   
   do what they need to do using much higher level   
   constructs. No need to fiddle with LAPACK, BLAS,   
   matrix multiplication and inversion algorithms.   
      
   And on top of having to deal with much less   
   much higher level code they get way better   
   performance. The standard libraries are   
   much faster than custom Python code even   
   if it is JIT compiled.   
      
   Nobody want to write 5-10 times more lines   
   of code to run 5-10 times slower.   
      
   Arne   
      
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