NumPy VS manim

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]

That is definitely one of the things he does better than most. He actually wrote a custom library for math animations: https://github.com/3b1b/manim

Not quite what you're looking for, but worth pointing out that Grant Sanderson of 3Blue1Brown has published the "framework" he uses for his math videos on GitHub.

https://github.com/3b1b/manim

3b1b uses a python library for creating those videos.

https://github.com/3b1b/manim

Manim, 3b1b's animation library is open source: https://github.com/3b1b/manim

Coming to motion design, this rumour takes of due to the fact that there are programming libraries like Manim and Motion-Canvas which are actually used to generate animations from code. You can search 3Blue1Brown channel on youtube.

It kinda looks like this: https://github.com/3b1b/manim, but that would be a crazy usage of it. Wondering if they’re compositing Manim with a more traditional animation suite.

Probably used this for the animation: https://github.com/3b1b/manim

3blue1brown has had success with (their tool) manim, which uses Python.