mscurl

AdditionService add_args add_argsStandardScheme

java 编写的一个控制LED显示屏的工具(java control what appear on led.)

说明：  MIDP2.0的基本应用，包括铺图，精灵的逻辑处理，的一款坦克大战小游戏(MIDP2.0 basic applications, including shop plans, the wizard of logic, of a Battle City game)

用最新的百度API写的关于地图的例子，很有启迪意义，有需要的可以研究一下(Write on the map with the latest Baidu API examples, very instructive, need to study)

java 调用 kettle 对数据进行过滤，处理，转换 ，数据文件转换为 数据库文件(Java calls kettle to filter, process, transform, and convert data files into database files)

A thin wrapper around shell s read function showing a file name on error.

今天尝试写一个小demo实现下之前看过的代码，目的了解不同文件的数据访问，掌握如何获取前台数据，如何将数据库的数据在前端页面展示。 awt可视化界面可已实现提交数据到数据库，也可查询数据在控制台打印。 web工程：主要是web前台输入并提交数据，然后在另一页面展示数据库内容(Today, try to write a little demo to achieve before the next read the code, the purpose of understanding the data access different files, learn how to get the reception of data, how the data in the to show the front page. awt visual interface has been implemented to submit data to the , query data can also be printed on the console. web project: mainly web frontend to enter and submit data, and then display the contents of the in another page)

Java异常处理机制电子文档Java exception handling of electronic documents(Java exception handling mechanism for electronic document Java exception handling of electronic documents)

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)

说明：  本书繁体字版由第三波资讯股份有限公司出版。本书简体字中文版由第三波资讯股份有限公司授权清华大学出版社出版 附注项: 本书通过程序流程图来剖析程序，帮助读者彻底了解Applet的设计方法，并结合程序源代码展示、解释，轻松掌握Applet程序在网络上的运用。(Traditional version of the book published by the third wave of IT Corporation. Simplified Chinese version of the book The Third Wave Information Corporation authorized by the Tsinghua University Press Note entry: book through the program flow chart to analyze programs that help the reader a thorough understanding of Applet design method, and source code display, interpretation, easily Applet program to master the use of the network.)