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qqmail.py

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+import smtplib as sl #导入内置模块smtplib，通过该模块的类SMTP_SSL，创建了一个实例对象qqMail
+from email.mime.multipart import MIMEMultipart # email模块的类MIMEMultipart，可以整合邮件头、正文和附件等信息
+from email.header import Header #email模块的类Header，用于设置邮件头，即邮件的主题，收发件人
+from email.mime.text import MIMEText #构建邮件正文，需要从email.mime.text中导入MIMEText类示例中，为导入MIMEText类的固定写法
+from email.mime.image import MIMEImage #设置图片附件，需要从email.mime.image中导入MIMEImage类
+
+#收发件人和基本设置
+qqMail = sl.SMTP_SSL("smtp.qq.com", 465)
+mailName = "xiangtian_030611@qq.com"
+mailPassword = "svqketybpfmnbigg" #QQ邮箱授权码
+qqMail.login(mailName , mailPassword)
+sender = "xiangtian_030611@qq.com" #发件人
+receiver = "136733984@qq.com" #收件人
+#正文
+message = MIMEMultipart()
+message["Subject"] = Header("Python")
+message["From"] = Header(f"Python<{sender}>")
+message["To"] = Header(f"Xiangtian<{receiver}>")
+textWord = "这是一个Python程序"
+mailStyle = MIMEText(textWord,"plain","utf-8") #第一个参数是文本内容，即我们需要发送邮件的正文内容;
+                                                                 #第二个参数是文本格式，表示我们的正文内容以何种格式展示;
+                                                                 #第三个参数是编码。"utf-8"编码，能防止中文乱码
+#图片附件
+filePath = r"/home/xt/桌面/cheshire.jpg"
+with open(filePath, "rb") as imageFile: #第一个参数是路径(路径前面加r来防止转义);第二个参数是打开方式，用特定的字符串表示
+    fileContent = imageFile.read()
+attachment = MIMEImage(fileContent)
+attachment.add_header("Content-Disposition", "attachment", filename="cheshire.jpg") #设置附件标题
+#将正文和附件加入到邮件中
+message.attach(mailStyle)
+message.attach(attachment)
+#发送
+qqMail.sendmail(sender, receiver, message.as_string())

爬虫.py

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+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import time
+import random
+
+# 设置目标 URL 和请求头
+base_url = "https://news.ycombinator.com/"
+headers = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36"
+}
+
+# 存储数据
+titles = []
+links = []
+
+# 爬取内容
+for page in range(1, 4):  # 抓取前三页
+    url = f"{base_url}?p={page}"
+    response = requests.get(url, headers=headers)
+    soup = BeautifulSoup(response.text, "lxml")
+
+    for item in soup.find_all("a", class_="titlelink"):
+        titles.append(item.text)
+        links.append(item["href"])
+
+    print(f"完成第 {page} 页爬取")
+    time.sleep(random.uniform(1, 3))  # 随机延迟
+
+# 保存数据到 CSV
+data = {"Title": titles, "Link": links}
+df = pd.DataFrame(data)
+df.to_csv("news.csv", index=False, encoding="utf-8-sig")
+print("数据已保存到 news.csv")