The journey of Python development started with a script for renaming files, showcasing the power of Python's standard library in automating tasks.
Progressing from basic automation to more complex projects like building bots and data pipelines, OOP principles were adopted for managing complexity.
FastAPI, a framework with advanced features like type hints and async support, facilitated the development of RESTful APIs with auto-generated docs.
The journey further involved learning async/await for writing performant I/O-bound code, database interactions with ORMs like SQLAlchemy, testing using pytest, and deployment with Docker and CI/CD pipelines.