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非常稳定的IOCP通讯程序，包含了IOCP组件，demo程序。 可以作为大型通讯服务程序的参考，甚至扫尾改一下就可以作为自己的程序

Bing is a point-to-point bandwidth measurement tool (hence the b ), based on ping. Bing determines the real (raw, as opposed to available or average) throughput on a link by measuring ICMP echo requests roundtrip times for different packet sizes for each end of the link(Bing is a point-to-point bandwidth measur ement tool (hence the b), based on ping. Bing determines the real (raw, as opposed to available or average) throughput on a link by measuring ICMP echo requests roundt rip times for different packet sizes for each en d of the link)

电脑上实现发短信实例程序使用VB软件编写(Examples of program realization texting on computer software is written using VB)

socket连接的服务器端和客户端程序，能够相互间实现通信，代码能够执行-socket connected to server-side and client-side procedures, to achieve inter-communication, the code to perform

简单的FTP服务器，只支持匿名访问， 直接装文件夹拖到该文件上即可打开以此文件夹为根目录的FTP服务-Simple FTP server, only support anonymous. drag a directory onto it will open an FTP server root at that directory

Js工具源码例程，程序结合易语言扩展界面支持库和多线程支持库，调用API函数和易语言模块实现JS脚本执行。(Js source tools routines, programs combined with easy interface language extensions to support libraries and multithreading support library, call the API function and ease of language modules JS script execution.)

本程序采用JSP+JAVABEAN+SQLSERVER所开发的一个人才招聘网站的开发。是一个实用的系统。对于学习JSP的开发者是一个很好的帮助。-This procedure used JSP+ JAVABEAN+ SQLSERVER developed a talent recruitment website development. Is a practical system. For developers learning JSP is a very good help.

微软CSP开发工具，学习CSP开发的好工具(CSP Microsoft development tools, learning a good tool for CSP development)

这是一个基于API自己定义的ClientSocket封装基类。-This is an API based on their own definition of ClientSocket Packaging base class.

说明：  使用协同过滤的推荐系统测试代码Predicting movie ratings using collaborative filtering and latent concept extractors based on matrix decomposition methods like SVD and CUR on the movielens-100k dataset The project explores techniques for predicting unknown user ratings based on a large dataset of users and movie ratings.(Recommender-SystemsWe used 6 different recommender methods to predict user ratings across the data sets. Namely we set up Collaborative Filtering along with its baseline variant and Matrix decomposition techniques like Singular Value Decomposition and CUR. Moreover, we also implemented dimensionality reduction in these matrix decomposition techniques which preserved 90% of the energy so as to increase the computational efficiency while keeping the accuracy similar for these methods.)