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A lot of the complexity of the python code is hidden by the Geo* methods you have here; a more representative comparison would show how those methods are implemented (eg with the shape files).


There is a lot of complexity hidden in the R functions as well. The reason of using higher level languages with comprehensive standard libraries is exactly to abstract these things away. So, I think it's fair to say that, for this particular problem, wolfram language is better suited.


But that is the point of the Wolfram Language. If you are doing work with computation or data, it should be just built-in.


Actually, handling .shp files is also just built-in... https://reference.wolfram.com/language/ref/format/SHP.html




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