作为日常开发者或运维人员，掌握一些实用的 Python 脚本技巧，可以极大提高工作效率。
本文汇总了常见的文件操作、时间计算及简单桌面提醒示例，助你快速上手自动化日常任务。

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一、文件批量处理

1. 批量重命名文件

python

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import os folder = "./test_folder" for i, filename in enumerate(os.listdir(folder)): ext = os.path.splitext(filename)[1] new_name = f"文件_{i+1}{ext}" os.rename(os.path.join(folder, filename), os.path.join(folder, new_name)) print("批量重命名完成！")

2. 读取多个文本文件内容合并

python

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import glob files = glob.glob("logs/*.txt") with open("合并日志.txt", "w", encoding="utf-8") as outfile: for fname in files: with open(fname, encoding="utf-8") as infile: outfile.write(infile.read() + "\n") print("文件合并完成！")

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二、时间日期计算

1. 计算两个日期间天数差

python

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from datetime import datetime date1 = datetime.strptime("2025-08-01", "%Y-%m-%d") date2 = datetime.strptime("2025-08-05", "%Y-%m-%d") diff = (date2 - date1).days print(f"相差天数：{diff}")

2. 获取当前时间并格式化输出

python

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now = datetime.now() print(now.strftime("当前时间：%Y-%m-%d %H:%M:%S"))

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三、简单桌面提醒

Windows 平台使用 ctypes

python

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import ctypes ctypes.windll.user32.MessageBoxW(0, "任务完成提醒！", "Python 提示", 0x40 | 0x1)

跨平台使用 plyer

bash

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pip install plyer

python

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from plyer import notification notification.notify( title="Python 提醒", message="该休息一下啦！", timeout=5 )

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四、命令行参数处理

python

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import argparse parser = argparse.ArgumentParser(description="示例脚本") parser.add_argument("--name", type=str, help="输入你的名字", required=True) args = parser.parse_args() print(f"你好，{args.name}！欢迎使用脚本。")

运行示例：

bash

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python script.py --name 花花

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五、日志记录示例

python

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import logging logging.basicConfig( filename='app.log', level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) logging.info("程序启动") logging.error("出现错误！")

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六、总结

技巧类别	适用场景
文件批量处理	日常文件整理、日志合并
时间计算	任务调度、时间差统计
桌面提醒	任务完成提示、定时通知
命令行参数	脚本灵活调用、参数传递
日志记录	程序调试、运行监控

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