Python Development
A comprehensive guide to Python development covering FastAPI, Django, Flask, type hints, async programming, data processing, and performance optimization — everything you need to build high-quality Python applications.
Target Audience
- Complete beginners new to Python or programming
- Developers looking to adopt Python best practices
- Engineers building web APIs or data pipelines with Python
Prerequisites
- Basic computer literacy (for the beginner guides)
- Foundational Python knowledge (for the advanced guides)
Study Guide
01-basics -- Python Fundamentals
| # | File | Content | |---|------|---------| | 01 | 01-python-intro.md | What Python is, installation, first program, REPL | | 02 | 02-basic-syntax.md | Variables, data types, operators, string manipulation | | 03 | 03-control-flow.md | if/elif/else, for/while loops, break/continue/pass | | 04 | 04-functions.md | Defining functions, arguments, return values, scope, lambdas | | 05 | 05-data-structures.md | Lists, tuples, dicts, sets, comprehensions | | 06 | 06-modules-packages.md | Imports, standard library, pip, virtual environments |
02-best-practices -- Python Best Practices
| # | File | Content | |---|------|---------| | 01 | python-best-practices.md | Type hints, code quality, project structure, testing |
03-frameworks -- Web Frameworks
| # | File | Content | |---|------|---------| | 01 | fastapi-django.md | FastAPI and Django development guide |
04-data-processing -- Data Processing
| # | File | Content | |---|------|---------| | 01 | data-processing.md | CSV/JSON/Excel processing, pandas/NumPy, web scraping, automation |
05-performance -- Performance Optimization
| # | File | Content | |---|------|---------| | 01 | performance-optimization.md | Profiling, data structure optimization, concurrency, caching |
Quick Reference
Python Best Practices Cheat Sheet:
Type Hints:
str, int, float, bool -- primitive types
list[T], dict[K, V] -- generics (Python 3.9+)
T | None -- union with None (Python 3.10+)
Optional[T] -- equivalent to T | None
Callable[[A], R] -- callable type
TypeVar, Generic[T] -- generic classes
Project Tools:
ruff -- fast linter + formatter
mypy -- static type checker
pytest -- test framework
poetry -- dependency management
pre-commit -- git hooks for code quality
Virtual Environments:
python -m venv venv -- create
source venv/bin/activate -- activate (Linux/macOS)
venv\Scripts\activate -- activate (Windows)
deactivate -- deactivate
References
- Python Software Foundation. "Python Documentation." docs.python.org, 2024.
- Tiangolo, S. "FastAPI Documentation." fastapi.tiangolo.com, 2024.
- Django Software Foundation. "Django Documentation." djangoproject.com, 2024.
- McKinney, W. "Python for Data Analysis." O'Reilly, 2022.