Absolutely agreed! You can feel that R was made for its specific use case. Exploration, visualization, experimentation and modeling just __click__ for me in R in a way Python can never inspire.
In the Python ML world only the matrix libraries - numpy and similar APIs like torch.tensor and jax feel natural and click in my brain. The rest - data frame, visualization, scientific libraries; I'm not very sure how to explain it, but it always feels like some context switch is needed between using Python the language, and calling out to these libraries.
In the Python ML world only the matrix libraries - numpy and similar APIs like torch.tensor and jax feel natural and click in my brain. The rest - data frame, visualization, scientific libraries; I'm not very sure how to explain it, but it always feels like some context switch is needed between using Python the language, and calling out to these libraries.