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S³ School 2026 — Debugger & Unit Tests (Exercises) Speaker: Maximilian Linhoff (CTAO ERIC) This exercise session builds on the morning lecture: you practice debugging techniques in a test-driven way, then start adding real tests to the “pkoffee” codebase to make refactoring safer and more reproducible. What you’ll practice: • Debugging mindset: the fastest way to debug is often to write a failing unit test first • Print vs logging: how to use Python’s logging module to enable/disable debug output cleanly • Debuggers in real life: stepping through code with pdb, reading the stack trace, breakpoints, and “continue/step” • pytest + debugging workflows (including dropping into a debugger on failures) • Hands-on testing task: add pytest to the Pixi environment, create a “test” task, then write your first tests • Where to place tests: top-level “tests/” vs packaging tests inside the Python module (pros/cons) 🧪 Exercise goal Turn a “no-tests” legacy codebase into something you can trust: minimal tests first, then expand coverage as you iterate. 📚 Slides & materials (course page) https://s3-school.github.io/s3-2026-l... 🔗 Resources (all sessions) • S3 2026 Lectures (all notes/materials): https://s3-school.github.io/s3-2026-l... • GitHub organization (exercises & repositories): https://github.com/s3-school • Event page (Indico): https://indico.in2p3.fr/event/36319/ Tags (YouTube): debugging, pdb, ipdb, python debugger, unit tests, python testing, pytest, pytest-cov, logging, python logging, breakpoints, stack trace, test driven debugging, software quality, research software, research software engineering, rse, reproducible research, open science, sustainable software, s3 school, s3 school 2026, build and code, pkoffee 🔔 Like, subscribe, and watch the next session in the S³ School 2026 series!