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2026 年 05 月

pip

2026-05-17

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--- title: pip date: 2022-01-16 15:04:50 tags: --- \`\`\`shell # 升级pip pip install --upgrade pip # 批量安装 pip install -r e:\\\\requirements.txt # 升级 pip
PSPNet

2026-05-17

默认分类
# 金字塔解析网络
python 协程新版

2026-05-17

默认分类
\`\`\`python import asyncio async def coro(i): print("core start",i) ret = await get(i) # 此处为耗时的io等操作 print("core end",i) return ret async def get(i):
POIEasyExcel

2026-05-17

默认分类
# POI与EasyExcel - 数据导出excel - 数据导入程序 # POI - 数据加入内存再操作 - 消耗内存 \`\`\`java // 工作簿 2003 65535行 Workbook workbook = new HSSFWorkbook(); // 工作簿 2007 无限制，但耗
python-pandas

2026-05-17

默认分类
# pandas 数据预处理 基于numpy \`\`\`python # 读取csv文件(逗号隔开的文件) import pandas,os,numpy as np path = r"D:\\desktop\\Workspace\\PythonWorkSpace\\Machine-Learning
python-numpy

2026-05-17

默认分类
``` # 常用库numpy import numpy as np array1 = np.array([1,2,3,4]) print(array1) # [1 2 3 4] array2 = np.array([ [1,2,6,9], [3,4,8,9], [3,5,9,9], [3,5,7,9
python

2026-05-17

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--- title: python date: 2022-01-16 15:04:50 tags: --- \`\`\`python # xml 读取 import csv import os import sys import numpy as np import copy import shut
python-matplotlib

2026-05-17

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``` # matplotlib 画图工具 import matplotlib.pyplot as plt import pandas as pd import numpy as np from pandas.core.series import Series # 自定义数据 X = Series(
python2,3区别

2026-05-17

默认分类
| | Python2 | Python3 | |-----------------|----------------------------|----------------------------| | default charset | ascii(can change) | utf-8 |
python多线程

2026-05-17

默认分类
1 多进程 ===== ``` # 多进程, import os import time from multiprocessing import Process # 启动时必须在 if __name__ 判断下,windows 必须,其他 无限制 # ========================
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