精通现代开发栈：Python、Git与Docker实战指南

精通现代开发栈：Python、Git与Docker实战指南

第一部分：Python与TypeScript核心技能展示

Python高级特性实战

# 类型注解与异步编程
from typing import List, Dict, Optional, AsyncIterable
import asyncio
from dataclasses import dataclass

@dataclass
class User:
    id: int
    name: str
    email: Optional[str] = None

# 异步数据获取
async def fetch_users(ids: List[int]) -> AsyncIterable[User]:
    for id in ids:
        # 模拟API请求延迟
        await asyncio.sleep(0.1)
        yield User(id=id, name=f"User_{
     id}", email=f"user{
     id}@example.com")

# 上下文管理器处理资源
class DatabaseConnection:
    def __enter__(self):
        print("Establishing database connection")
        return self
    
    def __exit__(self, exc_type, exc_val, exc_tb):
        print("Closing database connection")
    
    def query(self, sql: str) -> List[Dict]:
        return [{
   "id": 1, "data": "sample"}]

# 使用异步推导式处理数据
async def main():
    user_ids = [i for i in range(1, 6)]
    premium_users = [
        user async for user in fetch_users(user_ids) 
        if user.id % 2 == 0
    ]
    
    # 使用上下文管理器
    with DatabaseConnection() as db:
        result = db.query("SELECT * FROM users")
    
    print(f"Premium users: {
     [u.name for u in premium_users]}")
    print(f"Query result: {
     result}")

# 运行异步程序
if __name__ == "__main__":
    asyncio.run(main())

TypeScript高级模式与类型系统

// 泛型与接口的高级应用
interface ApiResponse<T> {
   
  status: number;
  data: T;
  timestamp: Date;
}

// 用户实体类型
type User =