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Joined 1 year ago
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Cake day: June 18th, 2023

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  • My modelling is CPU bound as it’s a model made in Fortran by physicists (me included). The fact is that I wouldn’t get a 4x boost, and a model running overnight still would. When I actually need performance I use a 1000 cores compute cluster for multiple days, so that would never run on any consumer CPU anyways.

    For the data processing, the real bottle neck is disk access and my scripting speed, so the CPU doesn’t really need to be amazing.











  • I’m a scientist that has been coding almost exclusively in Python for the past decade and I strongly disagree.

    Python is great at being the glue that holds everything together, and everything crunchy part of the program is being handled by a library anyways.

    I code with two terminals, one for iPython and one for vim. And you don’t need anything else. The beauty of Python is that it’s not a language that is so full of boilerplate that you need an IDE to type it for you to be remotely productive.

    Overall, Python is a language made to be used by people that need to make something that just works and don’t need to spend years learning programming paradigms and industry practices. Fortran and C are so unwieldy in comparison and everything more modern lacks the expansive and diverse libraries of Python.