Modern C++ Won't Save Us

[Ola Fosheim Grøstad]

On Wednesday, 28 April 2021 at 10:33:43 UTC, bioinfornatics wrote:
> D do not have yet a competitive framework on Big Data «à la» 
> Spark, datascience «à la» Pandas/Dask (pandas with multi nodes 
> computing)

I've found it to be very difficult to move away from Python in 
general, it isn't only about frameworks but the massive amount of 
focused tested libraries available. For instance, I recently were 
to analyze a set of HRTFs (signal processing impulse responses) 
in a file format called SOFA, and I only found C++ and Python 
libraries for it. I tried to set up the C++ library, but it 
turned out to be time consuming, Python was just plug and play... 
so I ended up doing everything in numpy.

At the end of the day developer time was more precious than 
execution time, which was somewhat slow, but not slower than the 
time I saved on development time.

It is very difficult for any language to get there, not because 
of the computational aspect, but because of the interfacing, both 
social and technical.