关于Session过期/失效的理解，session与cookie的交互

什么是 SSL、TLS 和 HTTPS？

我终于决定要放弃 okhttp、httpClient，选择了这个牛逼的神仙工具！贼爽

调度系统设计精要

http-decision-diagram

我有特别的 DNS 配置和使用技巧

到底一台服务器上最多能创建多少个TCP连接

中年程序员（码农）转行金融，30+的程序狗，是否还有机会进入量化投资领域？

普通码农一枚，分享一下自己最常使用的几个效率生产工具。

如何深刻理解Reactor和Proactor？

为啥 Erlang 没有像 Go、Scala 语言那样崛起？

语言只是工具，那么什么是编程思想呢？

学习编译原理有什么好的书籍?

既然 GraalVM 支持多语言且能 AOT 编译 Java，它能否用来 AOT 编译 TS？

程序在编译的时候，会转换成汇编，然后是机器指令，那么运行的时候，操作系统充当什么呢？

TAPL这本书适合作为入门读物吗？

程序员基础掌握得好学新东西真的就快么？

现代计算机之父明明是冯诺依曼，为什么提到计算机，大家首先想到的是图灵？

Lisp machine 这种用 Lisp 代码当机器的汇编指令的硬件实现为什么销声匿迹了？硬件和 Lisp 这样的高级语言两个极端如何融合在一起？

CEK machine里的C、E、K分别对应了“真实”计算机里的哪些构造？

如何理解莱斯定理(Rice's Theorem)?

编程语言为什么有变量类型这个概念？

类型系统里的概念 Soundness 和形式系统中的概念一致性（Consistency）有什么异同？

为什么我们需要了解编程的历史？

如何自己创建一种编程语言？

怎么评价这份PLT Learning By Doing Guide 攻略？

写一个操作系统内核有多难？大概的内容、步骤是什么？

伯克利加州大学计算机专业课程简介？

SICP 是不是被高估了？

SICP中环境模型可以等价为龙书中(第七章)讲的的运行时刻环境么？

如何看待 Thomas Cormen 所说看完《算法导论》需要的时间？

在 Minecraft 中，造出一台计算机有多难？

你所读的计算机科学方向，有哪些不错的讲义（Notes）？

如何理解算法时间复杂度的表示法，例如 O(n²)、O(n)、O(1)、O(nlogn) 等？

你在南京大学上过最牛的课是什么？

SICP换零钱迭代方法实现，是如何写的？

完成一个Scheme解释器需要哪些知识？实现各功能都有哪些东西需要理解？

图灵机和冯诺依曼体系结构计算机之间是什么关系？

图灵机与λ演算是等价的，为什么前者成为了普遍接受的计算机或计算理论的模型？

未来什么编程语言和开发技术会比较吃香呢？

HTTPS 要比 HTTP 多用多少服务器资源？

如何看待知乎、饿了么后端的招聘纷纷由 Python 渐渐转向 Java？

如何看待王垠的博文《数学和编程》？

如何看待王垠在博客发布的《解谜计算机科学（前言）》一文？

编译技术中各环节比重如何？

你是如何搭建 Web 前端性能监控系统的？

如何通俗地解释 CGI、FastCGI、php-fpm 之间的关系？

如何获取https页的referrer？

为什么那么多框架都设计有 Context ？

网关和路由器的区别是什么？

面向对象设计中，如何实现业务逻辑与控制逻辑的分离？

服务器集群负载均衡原理？

dns做得负载均衡，为什么通过top命令查看每台机器负载相差很大？

DNS如何实现全局负载均衡？

请问爬虫如何爬取动态页面的内容？

第三方支付公司风控系统都有哪些？

交易系统和风控系统的架构怎么设计？

WIFI是位于OSI的哪一层？

如何生动形象、切中要点地讲解 OSI 七层模型和两主机传输过程?

BT种子的原理是什么？

如何彻底解决「网络延迟」这个问题？

为什么局域网的IP普遍是192.168开头？

怎么删除正在被占用的文件?

搭建家庭 NAS 服务器有什么好方案？

知乎的技术架构是什么样的？

大型网站技术架构剖析

面对数万台服务器运维工程师们是怎么装系统、管理配置，监控管理，用什么平台和工具？

求推荐好用的linux下管理面板？

CDN是什么？使用CDN有什么优势？

怎样正确做 Web 应用的压力测试？

有哪些简单实用的端口映射（内网穿透）软件工具？

0.0.0.0和255.255.255.255这两个IP地址到底有啥用？

既然一个 IP 地址可以被多个域名绑定，那么服务端是如何区分各个域名的?

SSL中，公钥、私钥、证书的后缀名都是些啥？

如何通俗的解释计算机中“合一(unification)”这个概念 ？

有没有简单易懂的算法来判定一个语言是/不是图灵完全的？

能否通过语义直接生成解释器？

有人质疑PL研究，比如program slicing的价值。如何解释？

QQ 等即时通讯软件的消息传输的技术原理是什么？

什么是动态规划（Dynamic Programming）？动态规划的意义是什么？

Y不动点组合子用在哪里？

计算机领域有哪些「将错就错」被沿用至今？

JavaScript 里最大的安全的整数为什么是2的53次方减一？

网络丢包，丢的包去哪里了？

组播IP地址到底是谁的IP？？

堆、栈的地址高低？ 栈的增长方向？

要理解王垠的研究，就数学上而言，需要达到什么层次？

计算机学术论文中有哪些令你惊艳或喜欢的 idea？

如何读一篇优秀的计算机论文？

如何通俗的解释计算机是如何实现1+1=2计算的？

How Aristotle Created the Computer

The most important computer you’ve never heard of

如果一种计算机语言不会影响你对编程的看法，它就不值得学习。

This problem was no secret. Computer scientists had been working on ways to network computers as early as 1962. Then on October 29, 1969—only a few months after Apollo 11 landed on the moon—grad student, Charley Kline, sent a message from his computer at UCLA to a computer some 350 miles north at the Stanford Research Institute (SRI). To Kline and his co-conspirator, Bill Duvall, it was no big deal. “It was just engineers working,” said Leonard Kleinrock, a pioneer of computer networking and a leader of the project.

The show was part of a larger Computer Literacy Project started by the British government and the BBC as a response to fears that the UK was deeply and alarmingly unprepared for the new revolution in personal computing that was happening in America. Unlike most TV shows, the BBC wanted to feature a computer on the show that would be used to explain fundamental computing concepts and teach a bit of BASIC programming. The concepts included graphics and sound, the ability to connect to teletext networks, speech synthesis, and even some rudimentary AI. As a result, the computer needed for the show would have to be pretty good—in fact, the producers' demands were initially so high that nothing on the market really satisfied the BBC's aspirations.

But everything truly did sort of get set in motion by a TV show—a 1982 BBC program called The Computer Programme. This was an attempt by the BBC to educate Britons about just what the hell all these new fancy machines that looked like crappy typewriters connected to your telly were all about.

Historically, different answers to this question – that is, different visions of computing – have helped inspire and determine the computing systems humanity has ultimately built. Consider the early electronic computers. ENIAC, the world’s first general-purpose electronic computer, was commissioned to compute artillery firing tables for the United States Army. Other early computers were also used to solve numerical problems, such as simulating nuclear explosions, predicting the weather, and planning the motion of rockets. The machines operated in a batch mode, using crude input and output devices, and without any real-time interaction. It was a vision of computers as number-crunching machines, used to speed up calculations that would formerly have taken weeks, months, or more for a team of humans.

Almost every major technological advance of the last two hundred years has taken place with the aid of large amounts of public money and under a good deal of government influence. The technologies of the computer and the Net were invented with the aid of massive state subsidies. For example, the first Difference Engine project received a British Government grant of £517,470 - a small fortune in 1834. From Colossus to EDVAC, from flight simulators to virtual reality, the development of- computing has depended at key moments on public research handouts or fat contracts with public agencies. The IBM corporation built the first programmable digital computer only after it was requested to do so by the US Defense Department during the Korean War. The result of a lack of state intervention meant that Nazi Germany lost the opportunity to build the first electronic computer in the late '30s when the Wehrmacht refused to fund Konrad Zuze, who had pioneered the use of binary code, stored programs and electronic logic gates.

Smalltalk was a revolutionary system developed by the Learning Research Group (LRG) at Xerox PARC in the 1970s, led by Alan Kay. Smalltalk was comprised of a programming language, a development environment, and a graphical user interface (GUI), running on PARC’s groundbreaking Alto computer. In fact, it is most famous for being the GUI that inspired Steve Jobs when he and a group of Apple engineers visited PARC in 1979. Smalltalk pioneered overlapping windows, popup menus, and paned browsers, all controlled by a mouse. All of these UI elements have come down to us today through systems like the Macintosh and Microsoft Windows. Smalltalk was also one of the earliest, and most influential, object-oriented programming languages, which make up the most dominant type of programming languages today. Object-oriented languages are designed to make it easy to reuse existing pieces of code, but in a flexible way. Python, Java, Ruby, and Objective-C, among others, all owe debts to ideas originally developed in Smalltalk.

The Smalltalk Zoo is a collection of historical versions of the revolutionary graphical programming and user environment Smalltalk, originally developed at Xerox PARC, ranging from the 1972 version all the way to the modern “Squeak” version whose development began in 1995. These emulated Smalltalk environments run in your web browser and are hosted by CHM at smalltalkzoo.thechm.org.

A 1971 issue of the radical feminist journal off our backs includes an announcement for a May meeting in Atlantic City “against the misuse of technology.” An announcement for that meeting also appears in a 1971 issue of alternative publication The Realist. There, CPP placed a call for activists to appear at that year’s Spring Joint Computer Conference, an event that the ad points out is “overwhelmingly dominated by white males,” so as to call attention to issues that are critical today — namely, “the use of computer information systems as a means of social control,” “corporate racism,” and “the role of automation on rising unemployment.”

It’s 1982, and I’m 11 years old, sitting at a Commodore PET computer terminal in the atrium of a science museum near my house. Whenever I come here, I beeline for this machine. The computer is set up to run a program called Eliza—an early chatbot created by MIT computer scientist Joseph Weizenbaum in the mid-1960s. Designed to mimic a psycho­therapist, the bot is surprisingly mesmerizing.