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 aiohttpimport 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@decorator2def 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：
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：
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：
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, abstractmethodclass 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！
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