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基于VHDL写的DS18B20的驱动，简单版本-based on VHDL write DS18B20 driven, simple version

经典教材数据库系统概念，很多大学计算机系的研究生课程用书 (Classical concept of teaching materials database system, many university computer science graduate course books)

用到的数据是2015微博用户画像比赛提供的数据，数据包含在文件中。这份代码能够实现完整的提取特征到训练模型，从而的出预测结果的功能。用到了sklearn及panda包。(The data used is provided by the user portrait competition of microblog in 2015. This code can complete the function of extracting features to the training model, thus producing the prediction results. Sklearn and panda packages are used.)

说明：  一款实用jQuery和css3制作的炫酷弹性背景轮播图插件。该jQuery轮播图在轮播的时候(A practical jQuery and CSS3 made a cool flexible background carousel plug-in. The jQuery Rotary Graph is in Rotary)

当当网项目北大青鸟s1项目-html project

说明：  bandelet 变换，多尺度分析；试验等(bandelet transform, multiple analysis,test)

做为一个例子，它是一个很好的学习FLASHMX的例子-as an example, it is a very good example of learning FLASHMX

说明：  金橙子激光打标软件ezcad 2.7.6免狗版，可保存文件(ezcad 2.7.6 dongle free version)

51单片机中点亮第一个灯的c程序在压缩包中包含c程序和keil工程等等，需要的可自行打开观看(The C program that lights the first lamp in the 51 single chip computer includes C program and keil project in the compression package. It can be opened and watched by itself if needed.)

使用SVM分类器来预测乳腺癌病人的预后(特征选择；分类器构建)，评价模型时使用无被交叉验证，性能评价指标包括准确率，AUC，灵敏度，特异度。学会最基本的机器学习方法。可查看分发给大家的代码，以后遇到类似的问题，可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the model was used without cross-validation. Performance evaluation indicators included accuracy, AUC, sensitivity, and specificity. Learn the most basic machine learning methods. You can view the code distributed to everyone, and later encounter similar problems, similar ideas and code can be used.)