Advanced_Python_Practice

A personal collection of self-study notes and runnable examples covering core Python, OOP, and libraries/tools commonly used in data engineering work (Pydantic, FastAPI, pytest, the os module, API requests). Each file is heavily commented and meant to be read top-to-bottom as a mini reference, with small runnable snippets to try things out.

Contents

File	Topic
1_fundamentals_of_python.py	Data types, built-in/method functions, string formatting & slicing, random module, isinstance, comparison operators, conditionals, loops, match-case, break/continue/pass, shallow vs. deep copy
2_datastructures_in_python.py	Lists, tuples, sets, dictionaries, unpacking, all/any, remove/pop, iterables vs. iterators, map/filter/zip, lambda functions
3_functions_in_python.py	User-defined functions, function types, *args/**kwargs, return statements, best practices
4_decorators_&_generators.py	Decorators (incl. a timer decorator example), generators
5_oops_in_python.py	Object-oriented programming: classes/objects, encapsulation, method types, polymorphism, duck typing
6_multi_threading.py	Multi-threading for I/O-bound tasks, the GIL
7_pydantic.py	Data validation/parsing with Pydantic, type-hint-based schemas
8_async_in_python.py	async/await, concurrency for I/O-heavy workloads
9_api_requests.py	Making HTTP requests with the requests library: GET/POST/PUT/PATCH/DELETE, query params, headers, auth, error handling, timeouts
10_os_module.py	The os module for filesystem work: paths, directories, environment variables, os.walk, file metadata — with a data-engineering lens (scanning/organizing data files)
11_fastAPI.py	Building APIs with FastAPI: path/query params, request bodies with Pydantic, validation, response_model, dependency injection, async endpoints, testing with TestClient
data_engineering_principles.txt	Notes on core data engineering principles (validation, idempotency, observability, incremental processing, etc.)
practice_1.py, practice_2.py	Small scratch scripts (__main__ entry point behavior, quick os checks)
pytest_practice/	Standalone pytest practice project — main.py (sample app code) + test_main.py (pytest notes: fixtures, parametrise, marks, pytest.raises, capsys, etc.)

Requirements

• Python 3.9+
• Third-party packages used across these files:

  pip install requests pytest "fastapi[standard]" pydantic

Running the examples

Most files are standalone scripts:

python3 9_api_requests.py
python3 10_os_module.py

Pytest examples:

cd pytest_practice
pytest -v

FastAPI app (from the repo root):

uvicorn 11_fastAPI:app --reload
# then visit http://127.0.0.1:8000/docs

Notes

• __pycache__/, .pytest_cache/, and os_practice_sandbox/ are generated while running the examples and aren't meant to be tracked in git.