随机短纤分布模型

利用python进行数据分析，英文书籍，从pandas库的数据分析工具开始利用高性能工具对数据进行加载、清理、转换、合并以及重塑；利用matpIotlib创建散点图以及静态或交互式的可视化结果；利用pandas的groupby功能对数据集进行切片、切块和汇总操作；处理各种各样的时间序列数据。(Starting from the data analysis tools of pandas database, high performance tools are used to load, clean, transform, merge and remodel data; scatter plots and static or interactive visualization results are created by matpIotlib; data sets are sliced, sliced and aggregated by pandas group by function; and various operations are processed. Time series data.)

使用cookie的方法进行微博登陆爬虫，免除一定复杂步骤(lauch weibo with cookie)

说明：  使用python中的opensilde库对tiff格式图片进行分割。(TIFF format image segmentation.)

可以将grads数据转换成ncl能读的数据，直接一步实现(Grads data can be converted into NCL readable data, which can be directly implemented in one step)

说明：  图注意力机制神经网络，添加监督信息来训练图神经网络(Training Graph Neural Network for Classification)

一个基于python 的V2V仿真代码。(the code is about V2V communication simulation)

非常好的蒙特卡洛树搜索写的五子棋示例，核心代码都有中文说明(An Example of Gobang Written by Monte Carlo Tree Search)

说明：  python编程从入门到实践，详细解释了python的学习过程(From the beginning to the practice of Python programming, it explains the learning process of Python in detail)

对图像先加入大气湍流，再对图像进行维纳滤波(Give the image in atmospheric turbulence, and then the image is the Wiener filter)

CK-TensorFlowuse TensorFlow and CNN train and test the CK+ dataset使用双流卷积神经网络对CK+的表情库进行分类，识别结果可以达到99%。(CK-TensorFlowuse TensorFlow and CNN train and test the CK+ dataset uses a double flow convolution neural network to classify CK+ expression libraries, and the recognition results can reach 99%.)