使用python2.7写的多客户端命令行聊天室，使用了socket通信，多线程技术，和线程condition锁，效率异常高

这是前两篇的地址，可以去看代码解释 https://blog.csdn.net/y363893017/article/details/105676878 https://blog.csdn.net/y363893017/article/details/105695328 首先上本机实测截图 如果对linux基础命令都不太熟悉的话，那就先学习基础命令吧，要不然你也不清楚我敲这几个简单的命令是为啥子 下面上服务端的代码 #! /usr/bin/env python3 # -*- coding:utf-8 -*- import socket import threading import pre

斐波那契_线程 使用递归斐波那契数列的线程示例。 熟悉 C# 线程的程序。 递归斐波那契数列本身只是为了线程而选择的。

- Asynchronous Processing Techniques for Android Applications.pdf

之前用python的多线程，总是处理不好进程和线程之间的关系。后来发现了join和setDaemon函数，才终于弄明白。下面总结一下。 1.使用join函数后，主进程会在调用join的地方等待子线程结束，然后才接着往下执行。 join使用实例如下： import time import random import threading class worker(threading.Thread): def __init__(self): threading.Thread.__init__(self) def run(self): t = random.randint(1

Intel TBB（Threading Building Blocks） 项目负责人编写

大学4年收集了不少好的电子书，这些都是经典中的经典，没什么好说的，快下载吧。我的资源，你们可以转载。对于书籍，其版权归原书作者。源代码，你们可以修改完善，二次开发。提升你的职业技术水平为我国计算机事业做出更多的贡献。

2019出版 Apress. Think Parallel We have aimed to make this book useful for those who are new to parallel programming as well as those who are expert in parallel programming. We have also made this book approachable for those who are comfortable only with C programming, as well as those who are fluent in C++. In order to address this diverse audience without “dumbing down” the book, we have written this Preface to level the playing field. What Is TBB TBB is a solution for writing parallel programs in C++ which has become the most popular, and extensive, support for parallel programming in C++. It is widely used and very popular for a good reason. More than 10 years old, TBB has stood the test of time and has been influential in the inclusion of parallel programming support in the C++ standard. While C++11 made major additions for parallel programming, and C++17 and C++2x take that ever further, most of what TBB offers is much more than what belongs in a language standard. TBB was introduced in 2006, so it contains support for pre-C++11 compilers. We have simplified matters by taking a modern look at TBB and assuming C++11. Common advice today is “if you don’t have a C++11 compiler, get one.” Compared with the 2007 book on TBB, we think C++11, with lambda support in particular, makes TBB both richer and easier to understand and use. TBB is simply the best way to write a parallel program in C++, and we hope to help you be very productive in using TBB.

自动驾驶中的深度强化学习 最适合离散操作：4名工人，学习率1e-4 无法使其在连续动作空间中正常工作； 它产生的动作出了问题 A3C创意 总览 人工神经网络的架构

这是一个多线程的ping命令，可以同时ping一段网络地址，属于异步ping！仅希望大家作为参考学习!