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
python
print("Hello, World!")
官方文档: https://docs.python.org/3/
2、变量和数据类型
python
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
python
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
python
person = {"name": "Alice", "age": 30, "city": "New York"}
print(person["name"])
5、循环
python
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
python
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
python
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
python
import math
print(math.sqrt(16))
官方文档: https://docs.python.org/3/tutorial/modules.html
9、异常处理
python
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
python
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
python
from datetime import datetime
now = datetime.now()
print(now)
官方文档: https://docs.python.org/3/library/datetime.html
12、随机数生成
python
import random
random_number = random.randint(1, 100)
print(random_number)
13、正则表达式
python
import re
text = "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
python
import requests
response = 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
python
import csv
with 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
python
import json
data = {"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
python
from bs4 import BeautifulSoup
import requests
url = "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
python
import threading
def 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
python
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://www.example.com")
官方文档: https://www.selenium.dev/documentation/en/
20、REST API - Flask
python
from flask import Flask, jsonify
app = 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