Reference Shelf
The repository contains many detailed notes originally organized like courses. They are still useful for exact retrieval, but their deep folder structure is no longer the main interface.
Collections Kept Available
- Computer Science: languages, algorithms, software engineering, and systems fragments.
- Mathematics: calculus, algebra, probability, statistics, optimization, and graph theory.
- AI & Data: machine learning, deep learning, and data-science notes.
- Tools: compact command and setup references.
- Culture & Interests: music, typography, games, and other investigations.
Use search for a specific term. Use the curated maps when deciding what to learn or apply next.
Cleanup Rule
When an old note is touched:
- keep it if it answers a distinct retrieval question;
- merge it when another note owns the same question more clearly;
- extract a durable concept into the main map when it becomes repeatedly useful;
- remove empty indexes and obsolete trivia when no incoming link or unique information remains;
- preserve a public route with a slug or redirect if the URL has external value.
Git history is the recovery layer. The public tree does not need to display every historical filing decision.