XPost: comp.lang.c++   
   From: ldo@nz.invalid   
      
   On Tue, 3 Feb 2026 20:17:04 -0600, Lynn McGuire wrote:   
      
   > On 2/3/2026 6:14 PM, Lawrence D’Oliveiro wrote:   
   >>   
   >> On Tue, 3 Feb 2026 17:28:35 -0600, Lynn McGuire wrote:   
   >>   
   >>> I am swinging huge datasets for simulation models from 1 MB to   
   >>> 1,000 MB. Nothing besides C++ has the oomph and speed to make this   
   >>> happen.   
   >>   
   >> Lots of Pythoneers are doing data science at this sort of scale.   
   >   
   > Been there, done that. I really doubt that any Python apps are doing   
   > the level of what I do. I would be careful telling people that   
   > Python apps run anywhere near the speed of C++.   
      
   Python has number-crunching engines like NumPy to do the grunt work.   
   The question is, how long does the overall job take: the C++ code may   
   run a bit faster, but it takes several times longer to write. You can   
   get a lot of analyses done in that time in Python. Particularly since   
   it is very easy to experiment with just a few lines of code, before   
   committing yourself to more elaborate analyses along particular lines.   
      
   And then you have access to visualization tools like Matplotlib to   
   view the results. And again, it is much quicker to generate displays   
   from that in Python than it would be to write C++ code.   
      
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