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Comment by complex_pi

11 hours ago

NumPy allows a lot of science to happen. Grievance is fine but a little respect is as well.

NumPy is the lingua franca for storing and passing arrays in memory in Python.

Thank you NumPy!

5 comments

complex_pi

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rekenaut  11 hours ago

This is great aspect of it, but that doesn’t diminish that it feels so tedious to work with compared to Julia and Matlab. Some of that is just from trying to shoehorn Python as a scientific computing language, but I think it’s time to revisit whether Python should have first party support for vectorization, arrays in memory, and broadcasting as Julia and Matlab have.

  • complex_pi  11 hours ago

    NumPy allowed a PEP for the in-memory representation of arrays in Python. This is tremendous useful for making APIs.

  • jampekka  11 hours ago

    I've never understood the "so tedious" argument of Python vs Matlab. Sure, having to import numpy and use np.array to create numpy arrays is a bit typing, but other than that I don't see major differences.

    Given what inconsistent mess Matlab is aside from matrix manipulation, I take NumPy any day.