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CLAUDE.md

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+# 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.