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Yes, it is only machine learning. Trying to separate it from the scientific community is creating a wall that does not exist. Besides, barely anyone uses python for 2d games or microcontrollers (out of hobbyist programs, and ruby also has a stack there with mruby or dragonruby, which have professional adoption mostly in japan), and you can't say with a straight face that python is a meaningful player in the Web application space, beyond its niche (and async python is a s**show).



> Yes, it is only machine learning. Trying to separate it from the scientific community is creating a wall that does not exist.

What? 99% of science has nothing to do with machine learning. Jupyter is used in a million different environments such as pure mathematics or computational chemistry where machine learning is almost completely absent.

> and you can't say with a straight face that python is a meaningful player in the Web application space, beyond its niche

According to the 2023 Stack Overflow Developer Survey[1], Django is more than twice as widely used as Ruby on Rails.

[1] https://survey.stackoverflow.co/2023/


> I didn't mean as it's the same thing, I meant there's significant overlap across the ecosystem for both. The most obvious example is numpy, and the role of narray as an almost native type.

> According to the 2023 Stack Overflow Developer Survey[1], Django is more than twice as widely used as Ruby on Rails.

Even I'd consider SO surveys relevant, it'd still be a niche, just a bigger niche than rails.




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