Lang Python

Quick Reference (30 seconds)

Python 3.13+ Development Specialist - FastAPI, Django, async patterns, pytest, and modern Python features.

Auto-Triggers: .py files, pyproject.toml, requirements.txt, pytest.ini, FastAPI/Django discussions

Core Capabilities:

• Python 3.13 Features: JIT compiler (PEP 744), GIL-free mode (PEP 703), pattern matching
• Web Frameworks: FastAPI 0.115+, Django 5.2 LTS
• Data Validation: Pydantic v2.9 with model_validate patterns
• ORM: SQLAlchemy 2.0 async patterns
• Testing: pytest with fixtures, async testing, parametrize
• Package Management: poetry, uv, pip with pyproject.toml
• Type Hints: Protocol, TypeVar, ParamSpec, modern typing patterns
• Async: asyncio, async generators, task groups
• Data Science: numpy, pandas, polars basics

Quick Patterns

FastAPI Endpoint:

from fastapi import FastAPI, Depends
from pydantic import BaseModel

app = FastAPI()

class UserCreate(BaseModel):
    name: str
    email: str

@app.post("/users/")
async def create_user(user: UserCreate) -> User:
    return await UserService.create(user)

Pydantic v2.9 Validation:

from pydantic import BaseModel, ConfigDict

class User(BaseModel):
    model_config = ConfigDict(from_attributes=True, str_strip_whitespace=True)

    id: int
    name: str
    email: str

user = User.model_validate(orm_obj)  # from ORM object
user = User.model_validate_json(json_data)  # from JSON

pytest Async Test:

import pytest

@pytest.mark.asyncio
async def test_create_user(async_client):
    response = await async_client.post("/users/", json={"name": "Test"})
    assert response.status_code == 201

Implementation Guide (5 minutes)

Python 3.13 New Features

JIT Compiler (PEP 744):

• Experimental feature, disabled by default
• Enable: PYTHON_JIT=1 environment variable
• Build option: --enable-experimental-jit
• Provides performance improvements for CPU-bound code
• Copy-and-patch JIT that translates specialized bytecode to machine code

GIL-Free Mode (PEP 703):

• Experimental free-threaded build (python3.13t)
• Allows true parallel thread execution
• Available in official Windows/macOS installers
• Best for: CPU-intensive multi-threaded applications
• Not recommended for production yet

Pattern Matching (match/case):

def process_response(response: dict) -> str:
    match response:
        case {"status": "ok", "data": data}:
            return f"Success: {data}"
        case {"status": "error", "message": msg}:
            return f"Error: {msg}"
        case {"status": status} if status in ("pending", "processing"):
            return "In progress..."
        case _:
            return "Unknown response"

FastAPI 0.115+ Patterns

Async Dependency Injection:

from fastapi import FastAPI, Depends
from sqlalchemy.ext.asyncio import AsyncSession
from contextlib import asynccontextmanager

@asynccontextmanager
async def lifespan(app: FastAPI):
    # Startup
    await init_db()
    yield
    # Shutdown
    await cleanup()

app = FastAPI(lifespan=lifespan)

async def get_db() -> AsyncGenerator[AsyncSession, None]:
    async with async_session() as session:
        yield session

@app.get("/users/{user_id}")
async def get_user(
    user_id: int,
    db: AsyncSession = Depends(get_db)
) -> UserResponse:
    user = await get_user_by_id(db, user_id)
    return UserResponse.model_validate(user)

Class-Based Dependencies:

from fastapi import Depends

class Paginator:
    def __init__(self, page: int = 1, size: int = 20):
        self.page = max(1, page)
        self.size = min(100, max(1, size))
        self.offset = (self.page - 1) * self.size

@app.get("/items/")
async def list_items(pagination: Paginator = Depends()) -> list[Item]:
    return await Item.get_page(pagination.offset, pagination.size)

Django 5.2 LTS Features

Composite Primary Keys:

from django.db import models

class OrderItem(models.Model):
    order = models.ForeignKey(Order,
    product = models.ForeignKey(Product,
    quantity = models.IntegerField()

    class Meta:
        pk = models.CompositePrimaryKey("order", "product")

URL Reverse with Query Parameters:

from django.urls import reverse

url = reverse("search", query={"q": "django", "page": 1}, fragment="results")
# /search/?q=django&page=1#results

Automatic Model Imports in Shell:

python manage.py shell
# Models from all installed apps are automatically imported

Pydantic v2.9 Deep Patterns

Reusable Validators with Annotated:

from typing import Annotated
from pydantic import AfterValidator, BaseModel

def validate_positive(v: int) -> int:
    if v <= 0:
        raise ValueError("Must be positive")
    return v

PositiveInt = Annotated[int, AfterValidator(validate_positive)]

class Product(BaseModel):
    price: PositiveInt
    quantity: PositiveInt

Model Validator for Cross-Field Validation:

from pydantic import BaseModel, model_validator
from typing import Self

class DateRange(BaseModel):
    start_date: date
    end_date: date

    @model_validator(mode="after")
    def validate_dates(self) -> Self:
        if self.end_date < self.start_date:
            raise ValueError("end_date must be after start_date")
        return self

ConfigDict Best Practices:

from pydantic import BaseModel, ConfigDict

class BaseSchema(BaseModel):
    model_config = ConfigDict(
        from_attributes=True,      # ORM object support
        populate_by_name=True,     # Allow aliases
        extra="forbid",            # Fail on unknown fields
        str_strip_whitespace=True, # Clean strings
    )

SQLAlchemy 2.0 Async Patterns

Engine and Session Setup:

from sqlalchemy.ext.asyncio import (
    create_async_engine,
    async_sessionmaker,
    AsyncSession,
)

engine = create_async_engine(
    "postgresql+asyncpg://user:pass@localhost/db",
    pool_pre_ping=True,
    echo=True,
)

async_session = async_sessionmaker(
    engine,
    class_=AsyncSession,
    expire_on_commit=False,  # Prevent detached instance errors
)

Repository Pattern:

from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

class UserRepository:
    def __init__(self, session: AsyncSession):
        self.session = session

    async def get_by_id(self, user_id: int) -> User | None:
        result = await self.session.execute(
            select(User).where(User.id == user_id)
        )
        return result.scalar_one_or_none()

    async def create(self, user: UserCreate) -> User:
        db_user = User(**user.model_dump())
        self.session.add(db_user)
        await self.session.commit()
        await self.session.refresh(db_user)
        return db_user

Streaming Large Results:

async def stream_users(db: AsyncSession):
    result = await db.stream(select(User))
    async for user in result.scalars():
        yield user

pytest Advanced Patterns

Async Fixtures with pytest-asyncio:

import pytest
import pytest_asyncio
from httpx import AsyncClient

@pytest_asyncio.fixture
async def async_client(app) -> AsyncGenerator[AsyncClient, None]:
    async with AsyncClient(app=app, base_url="http://test") as client:
        yield client

@pytest_asyncio.fixture
async def db_session() -> AsyncGenerator[AsyncSession, None]:
    async with async_session() as session:
        async with session.begin():
            yield session
            await session.rollback()

Parametrized Tests:

@pytest.mark.parametrize(
    "input_data,expected_status",
    [
        ({"name": "Valid"}, 201),
        ({"name": ""}, 422),
        ({}, 422),
    ],
    ids=["valid", "empty_name", "missing_name"],
)
async def test_create_user(async_client, input_data, expected_status):
    response = await async_client.post("/users/", json=input_data)
    assert response.status_code == expected_status

Fixture Factories:

@pytest.fixture
def user_factory():
    async def _create_user(db: AsyncSession, **kwargs) -> User:
        defaults = {"name": "Test User", "email": "test@example.com"}
        user = User(**(defaults | kwargs))
        db.add(user)
        await db.commit()
        return user
    return _create_user

Type Hints Modern Patterns

Protocol for Structural Typing:

from typing import Protocol, runtime_checkable

@runtime_checkable
class Repository(Protocol[T]):
    async def get(self, id: int) -> T | None: ...
    async def create(self, data: dict) -> T: ...
    async def delete(self, id: int) -> bool: ...

ParamSpec for Decorators:

from typing import ParamSpec, TypeVar, Callable
from functools import wraps

P = ParamSpec("P")
R = TypeVar("R")

def retry(times: int = 3) -> Callable[[Callable[P, R]], Callable[P, R]]:
    def decorator(func: Callable[P, R]) -> Callable[P, R]:
        @wraps(func)
        async def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
            for attempt in range(times):
                try:
                    return await func(*args, **kwargs)
                except Exception:
                    if attempt == times - 1:
                        raise
        return wrapper
    return decorator

Package Management

pyproject.toml (Poetry):

[tool.poetry]
name = "my-project"
version = "1.0.0"
python = "^3.13"

[tool.poetry.dependencies]
fastapi = "^0.115.0"
pydantic = "^2.9.0"
sqlalchemy = {extras = ["asyncio"], version = "^2.0.0"}

[tool.poetry.group.dev.dependencies]
pytest = "^8.0"
pytest-asyncio = "^0.24"
ruff = "^0.8"

[tool.ruff]
line-length = 100
target-version = "py313"

[tool.pytest.ini_options]
asyncio_mode = "auto"

uv (Fast Package Manager):

# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create virtual environment
uv venv

# Install dependencies
uv pip install -r requirements.txt

# Add dependency
uv add fastapi

Advanced Implementation (10+ minutes)

For comprehensive coverage including:

• Production deployment patterns (Docker, Kubernetes)
• Advanced async patterns (task groups, semaphores)
• Data science integration (numpy, pandas, polars)
• Performance optimization techniques
• Security best practices (OWASP patterns)
• CI/CD integration patterns

See:

• reference.md - Complete reference documentation
• examples.md - Production-ready code examples

Context7 Library Mappings

/docs/astral.sh/uv
/tiangolo/fastapi - FastAPI async web framework
/django/django - Django web framework
/pydantic/pydantic - Data validation with type annotations
/sqlalchemy/sqlalchemy - SQL toolkit and ORM
/pytest-dev/pytest - Testing framework
/numpy/numpy - Numerical computing
/pandas-dev/pandas - Data analysis library
/pola-rs/polars - Fast DataFrame library

Troubleshooting

Common Issues:

Python Version Check:

python --version  # Should be 3.13+
python -c "import sys; print(sys.version_info)"

Async Session Detached Error:

• Solution: Set expire_on_commit=False in session config
• Or: Use await session.refresh(obj) after commit

pytest asyncio Mode Warning:

# pyproject.toml
[tool.pytest.ini_options]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "function"

Pydantic v2 Migration:

• parse_obj() is now model_validate()
• parse_raw() is now model_validate_json()
• from_orm() requires from_attributes=True in ConfigDict

Last Updated: 2025-12-30 Status: Active (v0.0.1)