awesome-gamemaker VS awesome-datascience

I'm in love with Gamemaker, which got me interested in programming: https://gamemaker.io

My 9-yo son has been making games with GameMaker https://gamemaker.io/

It's a popular framework for creating 2D HTML games and publishing them on sites like Crazy Games.

GameMaker has a lot of great tutorials and templates that makes it easy to get up and running. I usually just set him up with one of the existing game templates and let him loose on customizing the characters using the built-in tools. Then I help him customize the game interactions. GameMaker has two modes: one for visual flow editing and one for directly editing the code. It's a great onramp to learning to code with a super low barrier to entry.

I started my hobby game development journey with Game Maker Studio - https://gamemaker.io . Now I've switched to Godot for its simplicity and rich set of advanced features to actually build almost AAA games? if that's a thing.

Many popular game engines use this tiered approach including Unity, Unreal Engine, and Game Maker. However, many free and open-source software engines are released under the permissive MIT license.

Assuming you don't have any prior programming experience, since your goal is Undertale modding it might be best to start by learning how to use GameMaker (with the GML programming language, not the drag-and-drop): https://gamemaker.io

List of useful links for gamemaker https://github.com/bytecauldron/awesome-gamemaker

GameMaker Studio 2 Creator 12 Months

Awesome Data Science by Academic

- https://github.com/academic/awesome-datascience

9. Awesome Data Science If you’re on the hunt for data science resources, Awesome Data Science is a goldmine. This curated list includes MOOCs, books, courses, blogs, podcasts, software, and more, all related to data science.

Awesome Data Science – The awesome lists repositories often provides a good collection of resources around a specific topic, and the awesome-datascience repository is no exception. It contains a very comprehensive list of books, moocs, tutorials, and other content for all learnes of all levels of experience.

There are several on github, such as: https://github.com/academic/awesome-datascience

Awesome Data Science

If you want to expand your skills and knowledge in data science, there's a ton of free online resources out there. For example, this page is a good place to get started. There's lots of communities like /r/learndatascience or similar subs if you get stuck on something.