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摘要： import os import time from threading import Thread # from multiprocessing import Process #通过对全局变量的修改来验证线程之间是数据共享的,共享同一进程中的数据 num = 100 def f1(n): # time.sleep(3) global num num = 3 p... 阅读全文

摘要： from threading import Thread # from multiprocessing import Process # def f1(n): # print('%s号线程任务'%n) # def f2(n): # print('%s号线程任务'%n) # if __name__ == '__main__': # t1 = Thread(target=f1... 阅读全文

摘要： 今日内容 线程理论 什么是线程 线程的两种创建方式(重点) 查看线程的pid 计算密集型和io密集型 线程与进程的效率对比 线程空间不是隔离的 守护线程(**) 锁(重点) 死锁现象(重点) 递归锁(重点) 以后用递归锁 子进程不能input 线程不需要main GIL锁(重点) 今日内容回顾: 线 阅读全文

摘要： import os from multiprocessing import Pool,Process def f1(n): print('进程池里面的进程id',os.getpid()) print('>>>>',n) return n*n def call_back_func(asdf): print('>>>>>>>>>>>>>',os.getpid())... 阅读全文

摘要： import time from multiprocessing import Process,Pool def f1(n): time.sleep(0.5) # print(n) return n*n if __name__ == '__main__': pool = Pool(4) res_list = [] for i in ran... 阅读全文

摘要： import time from multiprocessing import Process,Pool def f1(n): time.sleep(0.5) # print(n) return n*n if __name__ == '__main__': pool = Pool(4) # pool.apply(f1,args=(2,)) #同步方法 ... 阅读全文

摘要： import time from multiprocessing import Process,Pool def f1(n): time.sleep(1) # print(n) return n*n if __name__ == '__main__': pool = Pool(4) for i in range(10): prin... 阅读全文

摘要： import time from multiprocessing import Process,Pool # def f1(n): # time.sleep(1) # print(n) #对比多进程和进程池的效率 def f1(n): for i in range(5): n = n + i if __name__ == '__main__': ... 阅读全文

摘要： import time from multiprocessing import Process def f1(): time.sleep(2) print('子进程1号') def f2(): time.sleep(3) print('子进程2号') if __name__ == '__main__': s = time.time() p ... 阅读全文

摘要： import time from multiprocessing import Process,Event def f1(e): time.sleep(2) n = 100 print('子进程计算结果为',n) e.set() if __name__ == '__main__': e = Event() p = Process(targ... 阅读全文