bash VS NumPy

They inlined the code here: https://github.com/apple-oss-distributions/bash/commit/9817a...

It is -because- Apple is opposed to Open Source that they are unable to even ship a version of bash from the past 10 years out if fear of the big bad GPLv3 licensing might make them actually allow public auditing of their proprietary OS.

The Apple commitment to Open Source is mostly one direction and largely limited to cased where they have no legal choice such as GPL. They allow some contributions to happen to appease Apple engineers they want to retain, but as a whole Apple is fundamentally committed to walled gardens.

https://github.com/apple-oss-distributions/bash/tree/bash-12...

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]