cadabra2 VS NumPy

If you're into tensor algebra i can only recommend the beautiful piece of Software Cadabra is:

https://cadabra.science/

We wrote an article with it once, 40th order in the Lagrangian, perhaps 50k pages of calculations when all printed. Amazing tool! Thanks Kasper!

Before these suggestions come up, let me note that I did submit a bug report about a month ago, which was so far unaddressed by the developer. If I can't get it to work here, I also plan to email the developer directly since he said

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]