33 lines
1.1 KiB
Markdown
33 lines
1.1 KiB
Markdown
# homelab-dsa-tutoring
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## Overview
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This is a collection of Python projects for a tutoring side-gig focused on Data Structures and Algorithms (DSA).
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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.
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## Structure
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```
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shared/
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├── assignments/ # PDFs and other assignment materials
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└── notes-and-examples/ # Lesson files organized by date (YYYY.MM.DD)
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```
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Each lesson folder under `notes-and-examples/` contains one or more Python files used during the tutoring session.
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## Lessons
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| Date | Topics |
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|------|--------|
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| 2026.01.21 | Sorting algorithms (bubble sort, insertion sort) |
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| 2026.01.28 | Object references, shallow/deep copies, linked lists |
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| 2026.02.04 | Queue data structure |
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| 2026.02.11 | Stack data structure |
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## Notes
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- No external dependencies — pure Python, no `requirements.txt` needed.
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- Student homework submissions go to `me@bchen.dev`.
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- Lesson files often include skeleton classes with method stubs for students to implement.
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