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 idiomatic implementation
Code Quality and Tooling
- Utilizing code formatters and linters: black, isort, flake8, and ruff
- Performing static type checking with MyPy and pyright
- Implementing pre-commit hooks and streamlined developer workflows
Project Management and Packaging
- Managing dependencies with Poetry and utilizing 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, and Singleton (Pythonic approaches)
- Structural patterns: Adapter, Facade, Decorator, and Proxy
- Behavioral patterns: Strategy, Observer, and Command
Architectural Principles
- Applying SOLID principles to Python codebases
- Hexagonal/Clean Architecture concepts and system boundaries
- Dependency injection patterns and effective configuration management
Modularity and Reuse
- Differentiating between library design and application code
- 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 impact of the GIL
- Using multiprocessing and process pools for CPU-bound tasks
- Determining when to employ concurrent.futures versus multiprocessing
Async Programming with asyncio
- Mastering Async/await patterns, event loops, and cancellation mechanisms
- 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, and memory_profiler
- Optimizing critical paths and integrating C-extensions/Numba where beneficial
- Measuring key performance indicators such as 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 test suites
- Property-based testing using Hypothesis and implementing contract testing
- Techniques for mocking, monkeypatching, and testing asynchronous code
CI/CD, Release, and Monitoring
- Integrating tests and quality gates into GitHub Actions/GitLab CI pipelines
- 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 performing vulnerability scanning
- Adopting secure coding practices for input validation and secrets management
- Implementing runtime hardening: resource limits, user privileges, and container security
Capstone Project & Review
- Team lab: Design and implement a small service utilizing the patterns covered in the course
- Establish testing, type-checking, packaging, and CI pipelines for the project
- Final review, code critique, and development of an actionable improvement plan
Summary and Next Steps
Requirements
- Solid intermediate-level proficiency in Python programming
- Working knowledge of object-oriented programming concepts and basic testing methodologies
- Proficiency with command-line interfaces and Git version control
Target Audience
- Senior Python developers
- Software engineers accountable for Python code quality and system architecture
- Technical leads and MLOps/DevOps engineers managing Python codebases
Testimonials (2)
everything was perfect
Florin Vrincianu
Course - Python Programming Fundamentals
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.
