100个python的基本语法知识【下】

50. 压缩文件：

import zipfilewith zipfile.ZipFile("file.zip", "r") as zip_ref:zip_ref.extractall("extracted")

51. 数据库操作：

import sqlite3conn = 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 requestsresponse = requests.get("https://www.example.com")

53. 多线程：

import threadingdef my_thread():print("Thread running")thread = threading.Thread(target=my_thread)
thread.start()
thread.join()

54. 多进程：

import multiprocessingdef my_process():print("Process running")process = multiprocessing.Process(target=my_process)
process.start()
process.join()

55. 进程池：

from multiprocessing import Pooldef my_function(x):return x*xwith Pool(5) as p:print(p.map(my_function, [1, 2, 3]))

56. 队列：

from queue import Queueq = Queue()
q.put(1)
q.put(2)
q.get()

57. 协程：

import asyncioasync def my_coroutine():await asyncio.sleep(1)print("Coroutine running")asyncio.run(my_coroutine())

58. 异步IO：

import aiohttp
import asyncioasync 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 signaldef 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 resultreturn wrapper

61. 基于类的装饰器：

class MyDecorator:def __init__(self, func):self.func = funcdef __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):passobj = MyClass()
obj.method()

68. 类方法：

class MyClass:@classmethoddef method(cls):pass

69. 静态方法：

class MyClass:@staticmethoddef method():pass

70. 上下文管理器的实现：

class MyContextManager:def __enter__(self):passdef __exit__(self, exc_type, exc_val, exc_tb):passwith 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@propertydef value(self):return [e-mail] 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 1yield 2yield 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):passmy_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 asyncioasync 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 pickledata = {"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 argparseparser = 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, abstractmethodclass AbstractClass(ABC):@abstractmethoddef my_method(self):pass

99. 接口：

from abc import ABC, abstractmethod
class Interface(ABC):@abstractmethoddef 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！