摘要:
多进程池Flask实战应用 import json import math import flask from concurrent.futures import ProcessPoolExecutor app = flask.Flask(__name__) process_pool = Proce 阅读全文
摘要:
多线程池Flask实战应用 import json import time import flask from concurrent.futures import ThreadPoolExecutor app = flask.Flask(__name__) pool = ThreadPoolExec 阅读全文
摘要:
多线程生产者消费者模型爬虫 import queue import requests from bs4 import BeautifulSoup import threading import time import random def craw(url): r = requests.get(ur 阅读全文