Flarum Core VS NumPy

Obviously forums aren't as popular as they used to be, so this topic might not be of interest to many. For folks that want to run a forum, they'd most certainly go with Discourse (Ruby), Flarum (PHP), Xenforo (PHP), NodeBB (Javascript), Nimforum (Nim) and maybe Casnode (Go)

Projects such as Flarum have separated their project into a core repository and anoverall complete "main" repository.

https://github.com/flarum/core Simple forum software for building great communities.

In NumPy with @, dot() or matmul():

In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.

Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:

numpy: A library for scientific computing in Python

Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.

I was looking at all the big projects like numpy, pytorch, flask, etc.

I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]