from selenium import webdriver

driver = webdriver.Chrome()
driver.get("http://www.example.com")
username = driver.find_element_by_name("username")
password = driver.find_element_by_name("password")
username.send_keys("myusername")
password.send_keys("mypassword")
password.submit()

from bs4 import BeautifulSoup
import requests

url = 'http://www.example.com'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
for link in soup.find_all('a'):
    print(link.get('href'))

import paramiko

ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect('hostname', username='username', password='password')
stdin, stdout, stderr = ssh.exec_command('ls')
for line in stdout:
    print('... ' + line.strip('\n'))
ssh.close()

import pyautogui

# 移動(dòng)鼠標(biāo)到屏幕上的某個(gè)位置
pyautogui.moveTo(100, 150)

# 點(diǎn)擊鼠標(biāo)
pyautogui.click()

# 執(zhí)行鍵盤(pán)輸入
pyautogui.typewrite('Hello, world!')

pyinstaller --onefile my_script.py

import schedule
import time

def job():
    print("I'm working...")

schedule.every(5).minutes.do(job)

while True:
    schedule.run_pending()
    time.sleep(1)

from apscheduler.schedulers.background import BackgroundScheduler

def my_job():
    print("Hello, World")

scheduler = BackgroundScheduler()
scheduler.add_job(my_job, 'cron', hour=12, minute=0, second=0)
scheduler.start()

import requests

# 發(fā)送GET請(qǐng)求
response = requests.get('http://www.example.com')
print(response.text)

# 發(fā)送POST請(qǐng)求
data = {'key': 'value'}
response = requests.post('http://www.example.com/post', data=data)
print

import pandas as pd

# 讀取CSV文件
df = pd.read_csv('data.csv')

# 數(shù)據(jù)清洗（刪除含有缺失值的行）
df = df.dropna()

# 數(shù)據(jù)轉(zhuǎn)換（將某列的數(shù)據(jù)類型從字符串轉(zhuǎn)換為整數(shù)）
df['column_name'] = pd.to_numeric(df['column_name'], errors='coerce')

# 數(shù)據(jù)分析（計(jì)算某列的平均值）
mean_value = df['column_name'].mean()
print(f"The mean value of 'column_name' is {mean_value}")

import matplotlib.pyplot as plt
import pandas as pd

# 假設(shè)df是一個(gè)Pandas DataFrame，其中包含了我們要繪制的數(shù)據(jù)
# 例如，df['column_name']包含了分類標(biāo)簽，df['values']包含了對(duì)應(yīng)的數(shù)值

# 繪制柱狀圖
plt.bar(df['column_name'], df['values'])

# 添加標(biāo)題和標(biāo)簽
plt.title('Bar Chart Example')
plt.xlabel('Category')
plt.ylabel('Values')

# 顯示圖形
plt.show()