用 Python 进行办公自动化都需要学习什么知识呢？

# 举例，Python中的条件语句示例代码：
if score >= 90:
    print("优秀")
elif score >= 80:
    print("良好")
elif score >= 70:
    print("中等")
elif score >= 60:
    print("及格")
else:
    print("不及格")
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# 举例，使用os模块创建一个文件夹的示例代码：
import os

dir_name = 'new_folder'
if not os.path.exists(dir_name):
    os.makedirs(dir_name)
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# 举例，使用Openpyxl库读取Excel文件并获取单元格数据的示例代码：
from openpyxl import load_workbook

wb = load_workbook('example.xlsx')
ws = wb.active

print(ws['A1'].value)
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# 举例，使用百度翻译API进行文本翻译的示例代码：
import requests
import json

url = 'http://api.fanyi.baidu.com/api/trans/vip/translate'
params = {
    'q': 'hello',
    'from': 'en',
    'to': 'zh',
    'appid': 'your_appid',
    'salt': 'your_salt',
    'sign': 'your_sign'
}
response = requests.get(url, params=params)
result = json.loads(response.text)
print(result['trans_result'][0]['dst'])
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# 举例，使用tkinter库制作一个简单的窗口的示例代码：
import tkinter as tk

window = tk.Tk()
window.title('My Window')
window.geometry('200x100')
tk.Label(window, text='Hello World').pack()
window.mainloop()
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import xlwings as xw

# 打开Excel应用程序
app = xw.App(visible=False, add_book=False)
# 打开Excel工作簿
wb = xw.Book('test.xlsx')
# 选择要操作的工作表
sheet = wb.sheets['Sheet1']
# 写入数据
sheet.range('A1').value = 'Hello, world!'
# 关闭工作簿和Excel应用程序
wb.save()
wb.close()
app.quit()
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from pptx import Presentation
from pptx.util import Inches

# 打开PPT文件
prs = Presentation('test.pptx')
# 获取要插入图片的幻灯片
slide = prs.slides[0]
# 插入图片
pic = slide.shapes.add_picture('test.jpg', Inches(1), Inches(1))
# 保存修改后的PPT文件
prs.save('test.pptx')
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from docx import Document
from docx.shared import Inches

# 打开Word文档
doc = Document('test.docx')
# 获取要插入表格的段落
para = doc.add_paragraph()
# 插入表格
table = para.add_table(rows=3, cols=3)
# 修改表格内容
table.cell(0, 0).text = 'Name'
table.cell(0, 1).text = 'Age'
table.cell(1, 0).text = 'Tom'
table.cell(1, 1).text = '18'
# 保存修改后的Word文档
doc.save('test.docx')
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import smtplib
from email.mime.text import MIMEText

# 发件人邮箱
sender = 'your_email@example.com'
# 收件人邮箱
receiver = 'recipient@example.com'
# 邮件内容
msg = MIMEText('Hello, world!')
msg['Subject'] = 'Python自动化发送邮件'
msg['From'] = sender
msg['To'] = receiver

# 发送邮件
smtp = smtplib.SMTP('smtp.example.com')
smtp.login(sender, 'password')
smtp.sendmail(sender, [receiver], msg.as_string())
smtp.quit()
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import shutil

src_file = 'path/to/src/file.txt'
dst_dir = 'path/to/dst/'
shutil.move(src_file, dst_dir)
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import pandas as pd
import matplotlib.pyplot as plt

# 读取csv文件
df = pd.read_csv('path/to/data.csv')

# 数据清洗
df = df.dropna()

# 数据分析
avg_value = df['value'].mean()

# 数据可视化
plt.plot(df['date'], df['value'])
plt.show()
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import requests
from bs4 import BeautifulSoup

url = 'https://movie.douban.com/top250'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
 
# 发送请求
response = requests.get(url, headers=headers)
 
# 解析HTML
soup = BeautifulSoup(response.content, 'html.parser')
 
# 获取电影名称和评分
movies = soup.find_all('div', class_='info')
for movie in movies:
    name = movie.find('span', class_='title').get_text()
    score = movie.find('span', class_='rating_num').get_text()
    print(name, score)
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