Python 标准库实战
datetime 模块处理日期
from datetime import datetime, timedelta # 获取当前时间 now = datetime.now() print(f"当前时间: {now}") # 时间加减操作 next_week = now + timedelta(days=7) print(f"一周后时间: {next_week}") # 时间格式化 formatted = now.strftime("%Y-%m-%d %H:%M:%S") print(f"格式化时间: {formatted}")https://www.zhihu.com/zvideo/1994903430897112174/
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os 模块文件操作
import os # 检查文件是否存在 file_path = "example.txt" if os.path.exists(file_path): print(f"{file_path} 存在") # 获取当前工作目录 current_dir = os.getcwd() print(f"当前目录: {current_dir}") # 创建新目录 new_dir = "temp_folder" os.makedirs(new_dir, exist_ok=True)第三方库高效应用
requests 网络请求
import requests # GET 请求示例 response = requests.get("https://api.github.com") print(f"状态码: {response.status_code}") print(f"响应内容: {response.json()}")pandas 数据处理
import pandas as pd # 创建DataFrame data = {"Name": ["Alice", "Bob"], "Age": [25, 30]} df = pd.DataFrame(data) # 数据筛选 filtered = df[df["Age"] > 25] print(filtered)Excel 自动化操作
openpyxl 基础操作
from openpyxl import Workbook # 创建工作簿 wb = Workbook() ws = wb.active # 写入数据 ws["A1"] = "Hello" ws["B1"] = "World" # 保存文件 wb.save("example.xlsx")pandas 读写 Excel
# 读取Excel excel_data = pd.read_excel("data.xlsx") # 写入Excel excel_data.to_excel("output.xlsx", index=False)实用代码片段
进度条显示
from tqdm import tqdm import time for i in tqdm(range(100)): time.sleep(0.1) # 模拟任务日志记录
import logging logging.basicConfig(filename="app.log", level=logging.INFO) logging.info("程序启动") logging.warning("需要注意的情况")环境变量管理
from dotenv import load_dotenv import os load_dotenv() api_key = os.getenv("API_KEY")这些代码示例覆盖了Python开发中常见场景，从基础日期处理到复杂数据操作，可直接应用于实际项目中。每个代码块都经过验证，确保功能完整性和实用性。
