Python Advanced

This course assumes you already know Python Beginner and Python Intermediate — you are comfortable with OOP, decorators, generators and writing tests. Here we build on that with the topics that separate hobby code from professional, production-ready Python: threading, multiprocessing and asyncio; profiling and optimizing real bottlenecks; metaclasses, protocols and dataclasses; SOLID and design patterns applied with Python idioms; packaging and publishing your own libraries; and closing with structured logging, ORMs and a practical FastAPI project that ties everything together.

Course content

Concurrency and parallelism

🔒 Threading essentials text

🔒 Multiprocessing: when to use it instead of threading text

🔒 asyncio and async programming text

Performance and optimization

🔒 Profiling Python code text

🔒 Memory and CPU optimization text

🔒 Efficient data structures from collections text

Advanced OOP patterns

🔒 Metaclasses: the essentials text

🔒 Protocols and duck typing text

🔒 Dataclasses and __slots__ text

Architecture and best practices

🔒 SOLID principles applied in Python text

🔒 Essential design patterns in Python text

🔒 Dependency injection in Python text

Packaging and distribution

🔒 Packaging projects with pyproject.toml text

🔒 Publishing packages to PyPI text

🔒 Building command-line tools text

Production and a practical project

🔒 Structured logging in production text

🔒 Working with databases through an ORM text

🔒 Practical project: building an API with FastAPI text