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> With Go you don't have anything comparable to Django, Numpy, Pandas...

Given the age of the language I would assume building out its associated toolchain is only a matter of time. Python didnt ship with Django, Numpy, Pandas...



Python is rapidly becoming the lingua franca of data science; but there the vast majority of your inner loop isn't Python (numpy, scipy, pandas, numba, theano; C, Fortran, assembler, Cython, LLVM, CUDA...).

Basically Python is the glue language data people wanted, it turns out.


The best parts of python... are C.


The most-frequently-executed parts of Python are C. The best part is being able to glue all those together easily.


It will be a matter of years. I for one, am developing stuff today.


As are most of us lol. I would say if you want to use golang for a serious project and need additional libs you have to ready to write it yourself, which grants the opportunity to give back to the community and contribute to open source etc.




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