ip6table_mangle

isodata聚类算法流程图，开发环境可以是vc,也可以是matlab。(Isodata clustering algorithm flow chart, the development environment can be a vc, also can be the matlab)

局域网内的点对点文件传输,运行前请先关闭防火墙.服务端和客户端要都启动-LAN peer-to-peer file transfer, run before the closure of the firewall. Server-side and client to have to start

c编写的原码程序，自定义的通讯协议；可以任意转载，修改-c prepared by the original procedure code, since the definition of the communication protocol; Reprinted can arbitrarily revised

高斯二维拟合 最小二乘多次拟合(Gauss, two-dimensional fitting, least squares, multiple fitting)

说明：  c语言队列链表,核心思想:先进先出,后进后出.可以实现清空队列,进出队列.(C language queue list, core idea: first in, first out, last in, then out)

flash_asp天气预报功能简介：在线管理，可以改变界面颜色。-flash_asp weather profiles : online management, interface colors can be changed.

本源码为设备管理系统源码，主要是运用进程之间的调度，简单易懂！！！(very good！！！)

linux超全视频教程下载地址linux超全视频教程下载地址(ultra-wide video tutorial linux linux Download Download ultra-wide video tutorial)

说明：  python程序，基于故障诊断的python程序，供故障诊断学者下载学习(Python program based on fault diagnosis)

一个自己写的Hadoop MapReduce实例源码，网上看到不少网友在学习MapReduce编程，但是除了wordcount范例外实例比较少，故上传自己的一个。包含完整实例源码，编译配置文件，测试数据，可执行jar文件，执行脚本及操作步骤。学习完此例子后，你能掌握MapReduce基础编程，及如何编译Java文件，打包jar文件，编写shell执行脚本等。后续学习还可以参看本人的CSDN博客，如有问题也可以在线为你解答，不过本人也学习Hadoop不足一年，现学现卖而已，也可能力不能及，有些难的也很有可能不懂。希望能够帮助到学习MapReduce的朋友(A written Hadoop MapReduce example source code line to see a lot of friends in the learning MapReduce programming, but in addition to the wordcount example instance is relatively small, so upload your own. Contains the full example source code, the compiler configuration files, test data, executable jar file, execute the script and steps. Learn this example, you can grasp the the MapReduce basis of programming, and how to compile Java files, packaged jar file, write shell execute the script. Follow-up study can also see my CSDN blog if the problem is also available online for you to answer, but I also learned that for Hadoop less than a year, buying and learning it can also power can not and some difficulty also likely to understand . Want to be able to help to learn MapReduce friend)