Python标准库模块速查工具：分类浏览常用模块、函数说明、使用示例、一键复制代码片段

🖥️ 运行效果

🚀 实例简介

Python标准库模块速查工具是一款面向Python学习者的桌面查阅工具。将常用标准库模块按功能分类（文件操作、数据处理、日期时间、数学随机、网络HTTP、正则字符串、系统进程、加密安全），提供模块说明、常用函数列表和可直接运行的代码示例，支持关键词搜索和一键复制代码。

💻 核心代码

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Python标准库模块速查工具
分类浏览常用模块、函数说明、使用示例、一键复制代码片段
适合Python学习者快速查阅标准库用法
"""
import tkinter as tk
from tkinter import ttk, messagebox, scrolledtext
import platform

# 中文字体配置（Linux用文泉驿，Windows用微软雅黑）
CHINESE_FONT = "WenQuanYi Zen Hei" if platform.system() == "Linux" else "Microsoft YaHei"

# ============ 标准库模块数据库（真实数据）============
MODULES_DB = {
    "文件与路径操作": {
        "os": {
            "desc": "操作系统接口：文件/目录操作、环境变量、路径处理",
            "funcs": [
                ("os.listdir(path)", "列出目录内容"),
                ("os.makedirs(path)", "递归创建目录"),
                ("os.path.exists(path)", "判断路径是否存在"),
                ("os.path.join(a, b)", "拼接路径"),
                ("os.environ.get('KEY')", "读取环境变量"),
            ],
            "example": "import os\nfor f in os.listdir('.'):\n    print(f)"
        },
        "pathlib": {
            "desc": "面向对象的路径操作（Python 3.4+推荐）",
            "funcs": [
                ("Path.cwd()", "获取当前目录"),
                ("Path.glob('*.py')", "通配符匹配文件"),
                ("p.read_text()", "读取文本内容"),
                ("p.write_text(data)", "写入文本"),
                ("p.suffix", "获取文件扩展名"),
            ],
            "example": "from pathlib import Path\nfor f in Path('.').glob('*.txt'):\n    print(f.name)"
        },
        "shutil": {
            "desc": "高级文件操作：复制、移动、压缩、删除",
            "funcs": [
                ("shutil.copy(src, dst)", "复制文件"),
                ("shutil.copytree(src, dst)", "递归复制目录"),
                ("shutil.move(src, dst)", "移动文件/目录"),
                ("shutil.rmtree(path)", "递归删除目录"),
                ("shutil.make_archive(base, 'zip', dir)", "创建压缩包"),
            ],
            "example": "import shutil\nshutil.copy('a.txt', 'b.txt')"
        },
    },
    "数据处理与序列化": {
        "json": {
            "desc": "JSON编码与解码",
            "funcs": [
                ("json.dumps(obj)", "Python对象转JSON字符串"),
                ("json.loads(s)", "JSON字符串转Python对象"),
                ("json.dump(obj, fp)", "写入JSON文件"),
                ("json.load(fp)", "读取JSON文件"),
            ],
            "example": "import json\ndata = {'name': '张三', 'age': 25}\nprint(json.dumps(data, ensure_ascii=False))"
        },
        "csv": {
            "desc": "CSV文件读写",
            "funcs": [
                ("csv.reader(f)", "读取CSV行"),
                ("csv.DictReader(f)", "按字典读取（首行为键）"),
                ("csv.writer(f)", "写入CSV行"),
                ("csv.DictWriter(f, fields)", "按字典写入"),
            ],
            "example": "import csv\nwith open('data.csv') as f:\n    for row in csv.DictReader(f):\n        print(row['name'])"
        },
        "pickle": {
            "desc": "Python对象序列化（二进制）",
            "funcs": [
                ("pickle.dumps(obj)", "序列化为bytes"),
                ("pickle.loads(b)", "反序列化"),
                ("pickle.dump(obj, fp)", "写入文件"),
                ("pickle.load(fp)", "读取文件"),
            ],

💡 适用场景

办公自动化、数据分析、快速原型开发