Python Developer Expert
Expert in modern Python development, type hints, and clean architecture.
Core Principles
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Type hints for all function signatures
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PEP 8 compliance
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Idiomatic, Pythonic code
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Comprehensive docstrings
Modern Python (3.10+)
Type Hints
from typing import Optional, Union from collections.abc import Sequence
Union types (3.10+)
def process(value: int | str | None) -> str: if value is None: return "empty" return str(value)
Generic types
def first_item[T](items: Sequence[T]) -> T | None: return items[0] if items else None
Pattern Matching
def handle_response(response: dict) -> str: match response: case {"status": "success", "data": data}: return f"Success: {data}" case {"status": "error", "message": msg}: return f"Error: {msg}" case {"status": status}: return f"Unknown status: {status}" case _: return "Invalid response"
Dataclasses
from dataclasses import dataclass, field from datetime import datetime
@dataclass class User: id: int email: str name: str created_at: datetime = field(default_factory=datetime.now) tags: list[str] = field(default_factory=list)
def __post_init__(self):
self.email = self.email.lower()
Async Programming
import asyncio import aiohttp from typing import Any
async def fetch_url(session: aiohttp.ClientSession, url: str) -> dict[str, Any]: async with session.get(url) as response: return await response.json()
async def fetch_all(urls: list[str]) -> list[dict[str, Any]]: async with aiohttp.ClientSession() as session: tasks = [fetch_url(session, url) for url in urls] return await asyncio.gather(*tasks)
Async generator
async def stream_data(source): async for item in source: yield process(item)
Context Managers
from contextlib import contextmanager, asynccontextmanager from typing import Generator
@contextmanager def managed_resource(name: str) -> Generator[Resource, None, None]: resource = acquire_resource(name) try: yield resource finally: resource.release()
@asynccontextmanager async def async_db_session(): session = await create_session() try: yield session await session.commit() except Exception: await session.rollback() raise finally: await session.close()
Error Handling
class ApplicationError(Exception): """Base exception for application errors.""" def init(self, message: str, code: str, details: dict | None = None): super().init(message) self.code = code self.details = details or {}
class ValidationError(ApplicationError): """Raised when validation fails.""" def init(self, field: str, message: str): super().init(message, "VALIDATION_ERROR", {"field": field})
Usage
def validate_user(data: dict) -> User: if not data.get("email"): raise ValidationError("email", "Email is required") if "@" not in data["email"]: raise ValidationError("email", "Invalid email format") return User(**data)
Project Structure
project/ ├── src/ │ └── package_name/ │ ├── init.py │ ├── main.py │ ├── models/ │ ├── services/ │ └── utils/ ├── tests/ │ ├── conftest.py │ ├── unit/ │ └── integration/ ├── pyproject.toml └── README.md
pyproject.toml
[project] name = "my-package" version = "0.1.0" requires-python = ">=3.11" dependencies = [ "fastapi>=0.100.0", "pydantic>=2.0.0", ]
[project.optional-dependencies] dev = [ "pytest>=7.0.0", "pytest-asyncio>=0.21.0", "mypy>=1.0.0", "ruff>=0.1.0", ]
[tool.ruff] line-length = 88 select = ["E", "F", "I", "N", "W"]
[tool.mypy] strict = true python_version = "3.11"
[tool.pytest.ini_options] asyncio_mode = "auto"
Testing with Pytest
import pytest from unittest.mock import AsyncMock, patch
@pytest.fixture def user_data(): return {"id": 1, "email": "test@example.com", "name": "Test"}
@pytest.fixture async def db_session(): session = await create_test_session() yield session await session.rollback()
class TestUserService: async def test_create_user(self, db_session, user_data): service = UserService(db_session) user = await service.create(user_data) assert user.email == user_data["email"]
async def test_create_user_duplicate_email(self, db_session, user_data):
service = UserService(db_session)
await service.create(user_data)
with pytest.raises(ValidationError):
await service.create(user_data)
@patch("services.user.send_email", new_callable=AsyncMock)
async def test_send_welcome_email(self, mock_send, db_session):
service = UserService(db_session)
await service.send_welcome(user_id=1)
mock_send.assert_called_once()
FastAPI Example
from fastapi import FastAPI, HTTPException, Depends from pydantic import BaseModel, EmailStr
app = FastAPI()
class UserCreate(BaseModel): email: EmailStr name: str
class UserResponse(BaseModel): id: int email: str name: str
@app.post("/users", response_model=UserResponse) async def create_user( data: UserCreate, service: UserService = Depends(get_user_service) ) -> UserResponse: try: user = await service.create(data.model_dump()) return UserResponse.model_validate(user) except ValidationError as e: raise HTTPException(status_code=400, detail=str(e))
Лучшие практики
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Type hints everywhere — типизация улучшает читаемость и IDE support
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Dataclasses/Pydantic — для структурированных данных
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Context managers — для управления ресурсами
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Async when needed — для I/O-bound операций
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Pytest fixtures — для переиспользования тестовой логики
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Ruff + MyPy — для линтинга и проверки типов