1. 计算器程序:


 def add(x, y):
       return x + y


   def subtract(x, y):
       return x - y


   def multiply(x, y):
       return x * y


   def divide(x, y):
       try:
           return x / y
       except ZeroDivisionError:
           print("除数不能为零")


   print("选择操作:")
   print("1.加法")
   print("2.减法")
   print("3.乘法")
   print("4.除法")


   choice = input("输入操作序号(1/2/3/4): ")


   num1 = float(input("输入第一个数字: "))
   num2 = float(input("输入第二个数字: "))


   if choice == '1':
       print(num1, "+", num2, "=", add(num1, num2))
   elif choice == '2':
       print(num1, "-", num2, "=", subtract(num1, num2))
   elif choice == '3':
       print(num1, "*", num2, "=", multiply(num1, num2))
   elif choice == '4':
       print(num1, "/", num2, "=", divide(num1, num2))
   else:
       print("输入错误")

2. 列表去重:


   def unique_elements(input_list):
       return list(set(input_list))


   my_list = [1, 2, 2, 3, 4, 4, 5]
   print("原始列表:", my_list)
   print("去重后的列表:", unique_elements(my_list))

3. 文件内容复制:


def copy_file(source_path, destination_path):
       with open(source_path, 'r') as source:
           with open(destination_path, 'w') as destination:
               for line in source:
                   destination.write(line)


   source_file = 'source.txt'
   destination_file = 'destination.txt'
   copy_file(source_file, destination_file)
   print("文件复制完成。")

4. 字符串反转:


   def reverse_string(input_string):
       return input_string[::-1]
   print("反转前的字符串:", "Hello World")
   print("反转后的字符串:", reverse_string("Hello World"))

5. 生成随机密码:

  import random
   import string


   def generate_password(length):
       characters = string.ascii_letters + string.digits + string.punctuation
       password = ''.join(random.choice(characters) for i in range(length))
       return password


   password_length = 10
   print("生成的密码:", generate_password(password_length))

6. 简单的网页爬虫:


   import requests
   from bs4 import BeautifulSoup


   def simple_web_crawler(url):
       response = requests.get(url)
       soup = BeautifulSoup(response.text, 'html.parser')
       return soup.get_text()


   website = 'https://www.example.com'
   print("网站内容:", simple_web_crawler(website))

7. 排序列表:

  def sort_list(input_list):
       return sorted(input_list)

   my_list = [3, 1, 4, 1, 5, 9, 2, 6, 5]
   print("未排序的列表:", my_list)
   print("排序后的列表:", sort_list(my_list))

8. 计算字符频率:


 from collections import Counter


   def character_frequency(input_string):
       return Counter(input_string)


   my_string = "hello world"
   print("字符频率:", character_frequency(my_string))

9. 生成斐波那契数列:


def fibonacci(n):
       a, b = 0, 1
       result = []
       for _ in range(n):
           result.append(a)
           a, b = b, a + b
       return result


   print("斐波那契数列前10个数:", fibonacci(10))

10. 简单的待办事项应用:

    class Todo:
        def __init__(self):
            self.tasks = []
    
        def add_task(self, task):
            self.tasks.append(task)
    
        def remove_task(self, task):
            self.tasks.remove(task)
    
        def display_tasks(self):
            for index, task in enumerate(self.tasks):
                print(f"{index}. {task}")


    my_todo = Todo()
    my_todo.add_task("Learn Python")
    my_todo.add_task("Read a book")
    my_todo.display_tasks()
    my_todo.remove_task("Read a book")
    my_todo.display_tasks()

11. 文本分析 - 计算单词数量:

 def count_words(text):
       words = text.split()
       return len(words)


   text = "This is a simple text for word counting."
   print("单词数量:", count_words(text))

12. 数据可视化 - 使用Matplotlib绘制简单折线图:

   import matplotlib.pyplot as plt


   def plot_line_graph(x_values, y_values, title, x_label, y_label):
       plt.plot(x_values, y_values)
       plt.title(title)
       plt.xlabel(x_label)
       plt.ylabel(y_label)
       plt.show()


   x_values = [1, 2, 3, 4]
   y_values = [10, 40, 50, 20]
   plot_line_graph(x_values, y_values, "Simple Line Graph", "X-axis", "Y-axis")

13. 自动化脚本 - 重命名文件:


  import os
   def rename_files(directory, new_name):
       for filename in os.listdir(directory):
           old_file = os.path.join(directory, filename)
           new_file = os.path.join(directory, new_name + os.path.splitext(filename)[1])
           os.rename(old_file, new_file)


   rename_files('/path/to/directory', 'new_filename')

14. 网络应用 - 检查网站是否可用:


  import requests


   def check_website_status(url):
       try:
           response = requests.get(url)
           if response.status_code == 200:
               return True
           else:
               return False
       except requests.exceptions.RequestException:
           return False


   website = 'https://www.example.com'
   print("网站是否可用:", check_website_status(website))

15. 日期和时间 - 格式化当前日期:


 from datetime import datetime


   def format_current_date(format_string='%Y-%m-%d'):
       return datetime.now().strftime(format_string)


   print("当前日期:", format_current_date())

16. 文件处理 - 读取CSV文件内容:


   import csv


   def read_csv_file(file_path):
       with open(file_path, newline='') as csvfile:
           reader = csv.reader(csvfile)
           data = [row for row in reader]
       return data


   csv_file = 'example.csv'
   data = read_csv_file(csv_file)
   print(data)

17. 正则表达式 - 验证电子邮件地址:


 import re


   def validate_email(email):
       pattern = r'^[\w\.-]+@[\w\.-]+\.\w+$'
       return re.match(pattern, email) is not None


   email = "example@example.com"
   print("电子邮件地址有效:", validate_email(email))

18. 数据加密 - 使用MD5加密字符串:

import hashlib
   def encrypt_string(text):
       return hashlib.md5(text.encode()).hexdigest()

   encrypted_text = encrypt_string("Hello World!")
   print("加密后的字符串:", encrypted_text)

19. 数据筛选 - 筛选列表中的偶数:


def filter_even_numbers(numbers):
       return [num for num in numbers if num % 2 == 0]


   numbers = [1, 2, 3, 4, 5, 6]
   even_numbers = filter_even_numbers(numbers)
   print("偶数列表:", even_numbers)

20. 进程管理 - 运行外部命令:


 import subprocess
    def run_command(command):
        try:
            result = subprocess.check_output(command, shell=True)
            return result.decode('utf-8').strip()
        except subprocess.CalledProcessError as e:
            return e.output.decode('utf-8').strip()


    command = "ls -l"
    print("命令输出:", run_command(command))
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