S³ School 2026 - FAIRness Software quality tools (Part 1) Thomas Vuillaume скачать в хорошем качестве

S³ School 2026 - FAIRness Software quality tools (Part 1) Thomas Vuillaume

In this lecture, you’ll discover practical “quality tools” you can plug into your daily workflow to detect bugs earlier, enforce consistent style, improve readability, and raise overall software quality—without turning it into a burden. What you’ll learn : Static vs dynamic analysis: when to use each Linters & formatters (and why they save time in reviews): ruff, flake8, pylint, black Type checking (static typing to catch errors before runtime) Security scanners & dependency monitoring: bandit, Dependabot Extra tooling: pip-audit, docstring coverage (interrogate), Dockerfile linting (hadolint) Automating checks locally + in CI: pre-commit hooks, GitHub Actions Adding CI “badges” in your README 🔗 Slides & materials (this session) Course page (S3 2026 Lectures): https://s3-school.github.io/s3-2026-l... Indico event (program / resources): https://indico.in2p3.fr/event/36319/ School resources All lectures & materials: https://s3-school.github.io/s3-2026-l... GitHub organization: https://github.com/s3-school Tags (YouTube) S3 School,S3 School 2026,Sustainable Scientific Software,Research Software,Research Software Engineering,RSE,FAIRness,FAIR for Research Software,Software Quality,Code Quality,Static Analysis,Dynamic Analysis,Python,Ruff,,Pylint,Black,Type Checking,Mypy,CI/CD,GitHub Actions,Pre-commit,Pre-commit hooks,Bandit,Security scanning,Dependabot,pip-audit,Interrogate,Docstring coverage,Dockerfile linting,Hadolint,Automation,Testing,Open Science,Software sustainability If this lecture helps you, leave a like, subscribe, and check the slides/materials links above. 🚀