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50. 压缩文件：
import zipfile with zipfile.ZipFile("file.zip", "r") as zip_ref: zip_ref.extractall("extracted") 51. 数据库操作：
import sqlite3 conn = sqlite3.connect("my_database.db") cursor = conn.cursor() cursor.execute("CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT)") conn.commit() conn.close() 52. 网络请求：
import requests response = requests.get("https://www.example.com") 53. 多线程：
import threading def my_thread(): print("Thread running") thread = threading.Thread(target=my_thread) thread.start() thread.join() 54. 多进程：
import multiprocessing def my_process(): print("Process running") process = multiprocessing.Process(target=my_process) process.start() process.join() 55. 进程池：
from multiprocessing import Pool def my_function(x): return x*x with Pool(5) as p: print(p.map(my_function, [1, 2, 3])) 56. 队列：
from queue import Queue q = Queue() q.put(1) q.put(2) q.get() 57. 协程：
import asyncio async def my_coroutine(): await asyncio.sleep(1) print("Coroutine running") asyncio.run(my_coroutine()) 58. 异步IO：
import aiohttp import asyncio async def fetch(url): async with aiohttp.ClientSession() as session: async with session.get(url) as response: return await response.text() loop = asyncio.get_event_loop() loop.run_until_complete(fetch("https://www.example.com")) 59. 信号处理：
import signal def handler(signum, frame): print("Signal handler called with signal", signum) signal.signal(signal.SIGINT, handler) 60. 装饰器的实现：
def my_decorator(func): def wrapper(*args, **kwargs): print("Before function call") result = func(*args, **kwargs) print("After function call") return result return wrapper 61. 基于类的装饰器：
class MyDecorator: def __init__(self, func): self.func = func def __call__(self, *args, **kwargs): print("Before function call") result = self.func(*args, **kwargs) print("After function call") return result 62. 模块和包的导入：
from my_package import my_module 63. 相对导入：
from .my_module import my_function 64. 集合操作：
set1 = {1, 2, 3} set2 = {2, 3, 4} set1 & set2 # 交集 set1 | set2 # 并集 set1 - set2 # 差集 65. 集合方法：
my_set.add(5) my_set.remove(5) 66. 字典方法：
my_dict.keys() my_dict.values() my_dict.items() 67. 对象方法：
class MyClass: def method(self): pass obj = MyClass() obj.method() 68. 类方法：
class MyClass: @classmethod def method(cls): pass 69. 静态方法：
class MyClass: @staticmethod def method(): pass 70. 上下文管理器的实现：
class MyContextManager: def __enter__(self): pass def __exit__(self, exc_type, exc_val, exc_tb): pass with MyContextManager(): pass 71. 元类：
class MyMeta(type): def __new__(cls, name, bases, dct): return super().__new__(cls, name, bases, dct) 72. 装饰器链：
@decorator1 @decorator2 def my_function(): pass 73. 属性的getter和setter：
class MyClass: def __init__(self, value): self._value = value @property def value(self): return self._value @value.setter def value(self, new_value): self._value = new_value 74. 文件操作：
with open("file.txt", "r") as file: content = file.read() 75. with语句：
with open("file.txt", "r") as file: content = file.read() 76. yield语句：
def my_generator(): yield 1 yield 2 yield 3 77. 生成器表达式：
gen = (x**2 for x in range(10)) 78. 列表方法：
my_list.append(5) my_list.remove(5) 79. 元组解包：
a, b, c = (1, 2, 3) 80. 字典解包：
def my_function(a, b, c): pass my_dict = {'a': 1, 'b': 2, 'c': 3} my_function(**my_dict) 81. 循环中断：
for i in range(10): if i == 5: break 82. 循环跳过：
for i in range(10): if i == 5: continue 83. 异步编程：
import asyncio async def my_coroutine(): await asyncio.sleep(1) asyncio.run(my_coroutine()) 84. 类型检查：
isinstance(5, int) 85. 序列化和反序列化：
import pickle data = {"name": "John", "age": 30} with open("data.pkl", "wb") as file: pickle.dump(data, file) with open("data.pkl", "rb") as file: data = pickle.load(file) 86. 文件读取模式：
with open("file.txt", "r") as file: content = file.read() 87. 文件写入模式：
with open("file.txt", "w") as file: file.write("Hello, World!") 88. 上下文管理器：
with open("file.txt", "r") as file: content = file.read() 89. 命令行参数解析：
import argparse parser = argparse.ArgumentParser(description="My program") parser.add_argument("name", type=str, help="Your name") args = parser.parse_args() 90. 模块导入：
import my_module 91. 包导入：
from my_package import my_module 92. 包的相对导入：
from .my_module import my_function 93. 动态属性：
class MyClass: def __init__(self): self.dynamic_attr = "I am dynamic" 94. 动态方法：
def dynamic_method(self): return "I am dynamic" MyClass.dynamic_method = dynamic_method 95. 类的单例模式：
class Singleton: _instance = None 96. 类的工厂模式：
class Factory: def create(self, type): if type == "A": return A() elif type == "B": return B() 97. 依赖注入：
class Service: def __init__(self, dependency): self.dependency = dependency 98. 抽象类：
from abc import ABC, abstractmethod class AbstractClass(ABC): @abstractmethod def my_method(self): pass 99. 接口：
from abc import ABC, abstractmethod class Interface(ABC): @abstractmethod def method(self): pass 这些知识点涵盖了Python编程的基本语法和常用功能。希望对你有帮助！
