python爬虫,模拟登陆，获取人名，微博信息等，多线程

DALI智能照明系统实现的主要功能是用户可通过智能手机或电脑等，以无线或有线的方式对房内的所有灯光进行单独或者组合控制。主控单元负责协议转换，并且需要记住最近或者常用的场景控制状态，实时地控制每一个从节点。DALI主机可以查找所有的DALI下位机位置并分配相应地址和进行相应控制。 主要功能如下： 1）以安卓智能手机为操作平台对灯具进行单灯控制或分场景进行控制； 2）以平板或PC为操作工具，对系统内的所有灯具进行场景编辑； 3）通过软件对系统内的灯具地址进行自动分配； 4）支持数据的实时存储及掉电存储功能； 5）支持主控器与PC之间的一键上传及下载功能； 6）支持一个系统多个主机； 7）通过家庭路由可实现WIFI全覆盖功能； 8）可通过控制面板对灯具进行控制，同时控制面板的控制指令可编辑。 (The main function of the DALI intelligent lighting system is that the user can control all the lights in the room in a wireless or wired way through a smart phone or a computer. The main control unit is responsible for protocol conversion, and needs to remember the most recent or commonly used control state of the scene. DALI host can find all of the DALI lower position and assign the corresponding address and corresponding control. The main functions are as follows: 1) use Android smart phone as the operating platform to control the single lamp or the scene of the lamp 2) use the flat plate or PC as the operating tool to edit all the lamps in the system 3) through the software of the system within the address of the automatic distribution 4) to support real-time data storage and power down storage function 5) to support the host controller and the PC between a key upload and download function 6) support for multiple hosts in a system 7 through the home routing can achiev)

说明：  利用python中Dijkstra的包，进行最短路径的算法实现过程(Using Dijkstra package in Python to implement the shortest path algorithm)

elastic search 的python测试运行(Python test run of elastic search)

边缘检测的Robert算子Python实现，一个是带噪声，一个是不带噪声的代码(Implementation of Edge Detection)

使用pyqt 实现windows下串口通信，包括串口选择配置，数据收发等。当然也可以加入pygraph实现波形显示，可做为上位机程序的参考(Using pyqt to achieve windows serial communication, including serial selection, configuration, data transceiver. Of course, you can also join the pygraph to achieve waveform display, can be used as a reference to the host computer program)

说明：  卷积神经网络用于两幅遥感图像或者红外和可见光图像的融合(For fusion of two remote sensing images or infrared and visible images)

说明：  用tensorflow实现vgg深度学习网络(Realization of VGg deep learning network with tensorflow)

说明：  社团分类，包括gn算法分类和cpm算法分类，包内还有训练数据可供联系。(community detection)

利用python实现bp神经网络，采用误差逆传播算法训练模型，并在一个toy set上进行了验证

数据曲线分析，显示数据曲线，根据皮尔森系数判别两条数据曲线的相似度(Data curve analysis, display data curve, distinguish the similarity of two data curve according to Pearson coefficient)