50. 压缩文件：

<code>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")code>

parser.add_argument("name", type=str, help="Your name")code>

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！