# homelab-dsa-tutoring

## Overview

This is a collection of Python projects for a tutoring side-gig focused on Data Structures and Algorithms (DSA).

It was previously deployed to a personal homelab server as a Tailscale file server (see `.github/workflows/deploy-homelab.yml`). The workflow SCP'd the repo to the server and ran a Docker Compose stack that served the files.

## Structure

```
shared/
├── assignments/          # PDFs and other assignment materials
└── notes-and-examples/   # Lesson files organized by date (YYYY.MM.DD)
```

Each lesson folder under `notes-and-examples/` contains one or more Python files used during the tutoring session.

## Lessons

| Date | Topics |
|------|--------|
| 2026.01.21 | Sorting algorithms (bubble sort, insertion sort) |
| 2026.01.28 | Object references, shallow/deep copies, linked lists |
| 2026.02.04 | Queue data structure |
| 2026.02.11 | Stack data structure |

## Notes

- No external dependencies — pure Python, no `requirements.txt` needed.
- Student homework submissions go to `me@bchen.dev`.
- Lesson files often include skeleton classes with method stubs for students to implement.