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import pandas as pdimport numpy as npimport jieba#数据读取df = pd.read_excel(r'E:\python爬虫\前程无忧招聘信息.xlsx',index_col=0)#数据去重与空值处理df.drop_duplicates(subset=['公司名称','岗位名称'],inplace=Tr

STAGE DEPENDENCIES: Stage-1 is a root stage Stage-6 depends on stages: Stage-1 , consists of Stage-3, Stage-2, Stage-4 Stage-3 Stage-0 depends on stages: Stage-3, Stage-2, Stage-5&

#define _CRT_SECURE_NO_WARNINGS#include"contact.h"//初始化通讯录void InitContact(struct Contact* pc){pc->sz = 0;//默认没有信息//memset(pc->data, 0, PEOPLE_MAX * sizeof(struct PeoInfo));memset(pc-&

##Author：Griffy##Date：2021-9-21from turtle import *import timeimport PySimpleGUI as sg     #弹框制作模块def draw_count_down(i):        #倒数  &

import requestsfrom lxml import etreefrom crawlers.userAgent import useragentimport reimport jsonimport timeclass video(object):    def __init__(self,url):    &

# -*- coding: UTF-8 -*-"""# @Time: 2021/9/14 21:13# @Author: 远方的星# @CSDN: https://blog.csdn.net/qq_44921056"""import turtle as turtleimport mathturtle.hideturtle()turtle.

books = [['<<西游记>>', '吴承恩'], ['<<水浒传>>', '施耐庵'], ['<<三国演义>>', '罗贯中'], ['<<红楼梦>>', '曹雪芹']

#include<iostream>using namespace std;int main(){    double y1=0,y2=0,y3=0,y4=0,y5=0,y=0;    double t1=0,t2=0,t3=0,t4=0,t5=0;    for(d

import urllib.requestfrom bs4 import BeautifulSoupimport timeimport pymysqldef headers_request(url):    headers={        'User-Agent&#39

import refrom requests_html import HTMLSessionfrom selenium import webdriverfrom bisect import bisectdef parseAndReplaceSvgNode(d_tags):    for d_tag in d_tags:   &n

import threadingimport queueimport time#定义一个生产者def producer():    count = 0    #判断队列中任务的数量    while q.qsize()<5:    &

#coding:utf-8import requestsimport hashlibimport timeimport randomclass Youdao(object):    def __init__(self,word):        self.url = 'h

from __future__ import division  # py3 "true division"import osimport randomimport itertoolsfrom gensim import utils, matutilsimport logginglogger = logging.getLogger(__name__)class Pat

#!/user/bin/env python# -*- coding: utf-8 -*-import jsonimport requestscorpid = "" # 企业idcorpsecret = ""class Tag:    def __init__(self):   &nbsp

# 银行支票（从MICR字体中提取数字和符号提取）# MICR（Magnetic Ink Character Recognition 磁性墨水字符识别）是一种用于处理文档的金融行业技术。# 经常会在对账单和支票的底部发现这种E-13B格式的磁性墨水。# USAGE# python bank_check_ocr.py --image images/example_check.jpg --refere

# -*- coding: utf-8 -*-# @Time : DATE:2021/8/29# @Author : yan# @Email : 1792659158@qq.com# @File : blogDemo.pyimport matplotlib.pyplot as pltimport numpy as npdef generate_rubik_cube(nx, ny, nz):&nbs

// import * as echarts from 'echarts';var idContainer_1 = "container_1";var chartDom = document.getElementById(idContainer_1);function initEchart_1(){  var myChart = echart

#作者： HY#CSDN博客地址：https://blog.csdn.net/weixin_46152207#开发时间：2021/8/20 18:03#input函数的使用#Python的输入函数input()# input()函数的介绍# input函数--》作用--》接受来自用户的输入#         --》返回

using System;namespace Enum{    class Program    {        static void Main(string[] args)     &

# coding=gbkimport zipfileimport osimport mimetypesimport smtplib   # 发送邮件模块from email import encodersfrom email.mime.multipart import MIMEMultipart    # 使用MIMEMultipart来标示这个邮