| It’s not like there’s a gun to anyone’s head forcing them to use Python. The ecosystem (library, framework, IDEs) is what draws people to use it. If there was a superior alternative that covers the breadth of the Python ecosystem I’m pretty sure no one would have any scruples in using it. A programming language and its syntax is the least interesting or complex part when it comes to solving problems. Just rattling off some amazing libraries I've used over the last few years: https://scikit-image.org - Image processing https://imgaug.readthedocs.io - Image augmentation https://scikit-learn.org/stable - ML https://pymoo.org - Multi objective optimization https://simpy.readthedocs.io/ - Discrete event simulation https://lifelines.readthedocs.io - Survival analysis https://bambinos.github.io/bambi - Bayesian modeling https://unit8co.github.io/darts/ - Time series forecasting https://abydos.readthedocs.io/en/latest/abydos.distance.html - Basically any string distance metric you can think of The list just goes on and on.. oh yeah, some Deep Learning libraries too, which some people find useful. |
Sure, but that is the gun, especially (as reflected in your examples) for machine learning. The best frameworks (PyTorch, TensorFlow, JAX) are all Python, with support for other languages being an afterthought as best.
The use of scripting languages (Python, Lua - original Torch) for ML seems to have started partly because he original users were non-developers, more from a math/stats background, and partly because an interactive REPL loop is good for a field like this that is very experimental/empirical.
Does it make sense that we're now building AGI using a scripting language? Not really, but that's where we are!