NumPy VS Godot

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]

Instead, I was recommended Godot by a fellow developer. It is an easy-to-pickup and beginner-friendly open-source engine, which I will use to develop the Tetris game.

Here's an example file tree from a part of the Godot game engine source code.

Godot [1] is a very nice game engine. There's a game on Itch.io that teaches the scripting language it uses [2], and a ton of great tutorials on YouTube for beginners and experts alike.

[1]: https://godotengine.org/

The Bitcoin and Mastadon links don't seem to be working! (wiki not found)

Would love to see this for Godot (https://github.com/godotengine/godot). Maybe Maplibre too (https://github.com/maplibre/maplibre-native)!

Godot Engine is a free and open-source game engine. The story started as an in-house engine of an Argentinian studio in 2007, and since 2014, it's been a community-driven project with a lot of contributors.

I think this is the PR.