整理了一个覆盖面比较广泛的Python脚本示例，涉及到机器学习、数据处理、还有算法er可能会遇到自己写后台的一些案例。

另外，每个模块底部提供了对于官网文档，更加方便的查询具体的使用方法。

内容由简到难，如果对你有帮助的话希望点赞 收藏    谢谢。

1、Hello World

print("Hello, World!")

官方文档: https://docs.python.org/3/

2、变量和数据类型

name = "Alice"
age = 30
height = 175.5
is_student = True

官方文档: https://docs.python.org/3/tutorial/introduction.html#numbers

3、列表

fruits = ["apple", "banana", "cherry"]
fruits.append("date")
print(fruits)

官方文档: https://docs.python.org/3/tutorial/introduction.html#lists

4、字典

person = {"name": "Alice", "age": 30, "city": "New York"}
print(person["name"])

5、循环

for i in range(1, 6):print(i)

官方文档: https://docs.python.org/3/tutorial/introduction.html#first-steps-towards-programming

6、条件语句

x = 5
if x > 10:print("x is greater than 10")
else:print("x is not greater than 10")

官方文档: https://docs.python.org/3/tutorial/controlflow.html

7、函数

def greet(name):return f"Hello, {name}!"message = greet("Alice")
print(message)

官方文档: https://docs.python.org/3/tutorial/controlflow.html#defining-functions

8、模块导入

import mathprint(math.sqrt(16))

官方文档: https://docs.python.org/3/tutorial/modules.html

9、异常处理

try:result = 10 / 0
except ZeroDivisionError:print("Division by zero is not allowed.")

官方文档: https://docs.python.org/3/tutorial/errors.html

10、文件操作

with open("example.txt", "w") as file:file.write("Hello, File!")with open("example.txt", "r") as file:content = file.read()print(content)

官方文档: https://docs.python.org/3/tutorial/inputoutput.html

11、日期和时间

from datetime import datetimenow = datetime.now()
print(now)

官方文档: https://docs.python.org/3/library/datetime.html

12、随机数生成

import randomrandom_number = random.randint(1, 100)
print(random_number)

13、正则表达式

import retext = "Hello, 12345"
pattern = r'\d+'
match = re.search(pattern, text)
if match:print(match.group())

官方文档: https://docs.python.org/3/library/re.html

14、Web请求

import requestsresponse = requests.get("https://www.example.com")
print(response.text)

官方文档: https://docs.python-requests.org/en/master/

15、CSV文件处理

import csvwith open("data.csv", "w", newline="") as file:writer = csv.writer(file)writer.writerow(["Name", "Age"])writer.writerow(["Alice", 25])with open("data.csv", "r") as file:reader = csv.reader(file)for row in reader:print(row)

官方文档: https://docs.python.org/3/library/csv.html

16、JSON处理

import jsondata = {"name": "Bob", "age": 35}
json_data = json.dumps(data)
print(json_data)

官方文档: https://docs.python.org/3/library/json.html

17、爬虫 - BeautifulSoup

from bs4 import BeautifulSoup
import requestsurl = "https://www.example.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
print(soup.title.text)

官方文档: https://www.crummy.com/software/BeautifulSoup/bs4/doc/

18、多线程

import threadingdef print_numbers():for i in range(1, 6):print(f"Number: {i}")def print_letters():for letter in "abcde":print(f"Letter: {letter}")thread1 = threading.Thread(target=print_numbers)
thread2 = threading.Thread(target=print_letters)thread1.start()
thread2.start()

官方文档: https://docs.python.org/3/library/threading.html

19、数据爬取 - Selenium

from selenium import webdriverdriver = webdriver.Chrome()
driver.get("https://www.example.com")

官方文档: https://www.selenium.dev/documentation/en/

20、REST API - Flask

from flask import Flask, jsonifyapp = Flask(__name)@app.route('/api', methods=['GET'])
def get_data():data = {'message': 'Hello, API!'}return jsonify(data)if __name__ == '__main__':app.run()

官方文档: https://flask.palletsprojects.com/en/2.1.x/

还整理了30个更难一点的脚本实例，后续会发布出来。敬请期待