Course Outline
Day 1 — Robust Python Foundations & Tooling
Modern Python Features and Typing
- Foundations of typing, generics, Protocols, and TypeGuard
- Overview of dataclasses, frozen dataclasses, and the attrs library
- Pattern matching (PEP 634+) and its idiomatic application
Code Quality and Tooling
- Code formatters and linters: black, isort, flake8, ruff
- Performing static type checking with MyPy and pyright
- Implementing pre-commit hooks and optimizing developer workflows
Project Management and Packaging
- Managing dependencies with Poetry and setting up virtual environments
- Best practices for package layout, entry points, and versioning
- Building and publishing packages to PyPI and private registries
Day 2 — Design Patterns & Architectural Practices
Design Patterns in Python
- Creational patterns: Factory, Builder, Singleton (Pythonic approaches)
- Structural patterns: Adapter, Facade, Decorator, Proxy
- Behavioral patterns: Strategy, Observer, Command
Architectural Principles
- Applying SOLID principles within Python codebases
- Hexagonal and Clean Architecture, including boundary definitions
- Dependency injection patterns and configuration management strategies
Modularity and Reuse
- Designing code for libraries versus applications
- Defining APIs, stable interfaces, and semantic versioning
- Managing configuration, secrets, and environment-specific settings
Day 3 — Concurrency, Async IO, and Performance
Concurrency and Parallelism
- Threading fundamentals and the implications of the GIL
- Using multiprocessing and process pools for CPU-bound tasks
- Determining when to use concurrent.futures versus multiprocessing
Async Programming with asyncio
- Async/await patterns, event loop management, and cancellation
- Designing async libraries and ensuring interoperability with synchronous code
- Handling IO-bound patterns, backpressure, and rate limiting
Profiling and Optimization
- Utilizing profiling tools: cProfile, pyinstrument, perf, memory_profiler
- Optimizing critical paths and using C-extensions or Numba where appropriate
- Measuring latency, throughput, and resource utilization
Day 4 — Testing, CI/CD, Observability, and Deployment
Testing Strategies and Automation
- Unit testing and fixture management with pytest; organizing tests effectively
- Property-based testing with Hypothesis and contract testing
- Techniques for mocking, monkeypatching, and testing asynchronous code
CI/CD, Release, and Monitoring
- Integrating tests and quality gates into GitHub Actions or GitLab CI
- Creating reproducible containers using Docker and multi-stage builds
- Enhancing application observability through structured logging, Prometheus metrics, and tracing
Security, Hardening, and Best Practices
- Conducting dependency audits, understanding SBOM basics, and vulnerability scanning
- Implementing secure coding practices for input validation and secrets management
- Runtime hardening: setting resource limits, managing user rights, and container security
Capstone Project & Review
- Team lab: Design and implement a small service incorporating patterns learned in the course
- Establishing testing, type-checking, packaging, and CI pipelines for the project
- Final review, code critique, and formulation of an actionable improvement plan
Summary and Next Steps
Requirements
- Solid experience in intermediate-level Python programming
- Working knowledge of object-oriented programming and fundamental testing concepts
- Proficiency with the command line and Git version control
Target Audience
- Senior Python developers
- Software engineers focused on maintaining Python code quality and architecture
- Technical leads, MLOps, and DevOps engineers working with Python codebases
Testimonials (3)
everything was perfect
Florin Vrincianu
Course - Python Programming Fundamentals
The adaptation of exos to our context and the consideration of our request
Amel Guetat - EURO-INFORMATION DEVELOPPEMENTS
Course - Fraud Detection with Python and TensorFlow
Machine Translated
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
