自己编写的一些用于解决C初学者的问题 书后习题 还有一些实用计算程序...

PHP学习资料，不过全是英文的，个人觉得内容还不错，只要下个翻译软件就行了！-PHP learning materials, but all in English, and personally feel that the content is also good, as long as the next translation software on the list!

大屏幕显示, 大屏幕显示, 大屏幕显示-display

俄罗斯方块，和平时玩的一样的，打开后里面有说明怎样的玩法-Russian box, and usually play the same, and opened there on what" s playing

good cms for web sites using php,mysql

几个C++库函数,也是经常用来测试编程实力的函数!-several C library functions, but also often used to test the strength of programming function!

lzh压缩代码的分析文档，自己分析的，毕业设计的项目，花了好多时间-lzh compression code analysis documents, own analyze, the graduation project project, has spend many time

国产简体中文版专业通过Baidu.COM引擎快速搜集大量目标城市和行业的公司企业客户手机号码的手机号码 搜索软件工具。Baidu.COM中收录了全世界的中文公司企业网页，输入与手机号码相关的字符即可检索到大量的手机号码，而且这些号码都是活跃的、有效的，具有极高的市场营销价值。软件通过一次性导入上千个检索关键词列表，自动搜索和提取手机号码，自动纠正错误的手机号码。它可以全天候24小时无人值守工作，是一个真正的手机号码搜索机器人，为您通过手机短讯营销方式推销或采购产品助一臂之力。搜索到的号码可以保存为一行一个手机号码的文本文件，该文件可以直接被配套的新狐手机发送软件导入后点击发送按钮即自动连续发送出去。本软件是服务型企业、广告主、展览商不可多得的一款新时代市场营销制胜法宝。 （这是一个公司对他们产品的宣传，我自己也做了这样一个类似的软件来开源）-homemade English version of the professional rapid adoption Baidu.COM engines collect a large number of target cities and industries Corporate customers phone numbers phone number search software tools. Baidu.COM which includes the world"s Chinese website companies, Input and phone numbers of characters can be retrieved a large number of phone numbers, but these numbers are active. effective, high marketing value. Through a one-time software into more than 1,000 key words list, automatically search and extract phone numbers, automatically correcting erroneous phone number. It"s all-weather, 24-hour unattend

用vc＋＋实现的基于面向对象的三维积木源代码。简单易懂-Using vc to achieve based on object-oriented three-dimensional building blocks source code. Easy-to-read

VC++控制Word制作报表，希望对大家有帮助！-VC++ Control Word production reports, we want to help!

通过欧几里德距离对三维空间内的数据点进行聚类： 从文件读入三列表示坐标的数据进行聚类。按项目总数和组数平均划分。首先计算两两之间的距离，选出最近的两个点，再按距离由小到大排序，找出距这两个点最近的若干个点。 除去这些点后对其余的点重复进行上述操作。-By Euclidean distance on three-dimensional space, clustering of data points: from the file read into the three coordinates of the data indicated that cluster. According to the average number of total number of projects and group division. First, calculate the distance between 22 to elect the nearest two points, and then from small to large order to identify these two points away from a number of recent points. After removing these points the rest of the point of repeating to carry out such operations.