Introduction

Hypermodern Python Tooling is a practical, end-to-end approach to building reliable, maintainable, and scalable Python projects by assembling a cohesive toolchain around modern best practices. Popularized through an O’Reilly guide, it teaches developers how to create robust workflows with tools like Poetry, Nox, pytest, mypy, Black, Ruff, pre-commit, and emerging options such as uv, Rye, and Hatch, ensuring projects stay aligned with the evolving Python ecosystem.

Course overview

This course walks you through designing a hypermodern project structure, managing dependencies, enforcing code quality, automating tasks, and integrating CI/CD. You’ll build a production-grade workflow that includes environment management, packaging, testing, coverage measurement, static typing, formatting, linting, and pre-commit hooks—culminating in reproducible builds and team-friendly practices.

You’ll also reference chapter-based examples that mirror a real learning journey—installing Python, setting up environments, packaging, dependency management, pytest testing, coverage reporting, Nox automation, linting with Ruff and pre-commit, and type safety with mypy—so you can follow along with a proven progression.

What you will learn

• Project scaffolding: Structure Python packages for clarity, testing, docs, and CI.
• Dependency management: Use Poetry to pin, lock, and publish packages with confidence.
• Automated testing: Build unit and integration suites with pytest and coverage.py.
• Quality gates: Enforce formatting (Black), linting (Ruff), and type safety (mypy) with pre-commit hooks.
• Task automation: Orchestrate repeatable workflows (tests, lint, types) with Nox.
• Modern tooling: Explore uv, Rye, and Hatch for fast environments and packaging agility.
• CI/CD integration: Ship production-ready code with reproducible builds and checks.

Hands-on modules

• Module 1: Environments and packaging with Poetry; publishing to indexes.
• Module 2: Testing strategy with pytest; parameterization and fixtures; coverage.py.
• Module 3: Code quality with Black, Ruff, mypy; pre-commit enforcement.
• Module 4: Nox automation; multi-session pipelines; local parity with CI.
• Module 5: Fast tooling with uv/Rye/Hatch; benchmarking build times and DX.
• Module 6: CI/CD blueprints; caches, artifacts, versioning, and release workflows.

Explore These Valuable Resources

• O’Reilly: Hypermodern Python Tooling
• GitHub: Hypermodern Python Tooling example code
• Amazon: Hypermodern Python Tooling

Explore Related Courses

• https://expertrainingdownload.com/python-basics/
• https://expertrainingdownload.com/python-advanced/
• https://expertrainingdownload.com/software-testing/
• https://expertrainingdownload.com/devops-cloud/
• https://expertrainingdownload.com/data-science-python/

Who should enroll?

Ideal for Python developers, QA engineers, DevOps practitioners, and tech leads who want consistent, automated workflows and production-grade code quality. If you maintain multiple services or collaborate across teams, Hypermodern Python Tooling will help you standardize practices and accelerate delivery.

Conclusion

By the end, you’ll have a repeatable, auditable, and scalable Python workflow—covering environments, dependencies, tests, types, style, lint, hooks, automation, and CI/CD—so your projects remain resilient as the ecosystem evolves.