python自动化框架

python 3.23的文档，非常适合初学者(python 3.23 of the document, very suitable for beginners)

说明：  基于经验模态分解成多个模态和一个残余量，再利用长短神经网络预测分别训练每一个模态和残余量，最后重构结果，得到预测结果(Prediction based on empirical mode decomposition and long short neural network)

SIR疾病传播模型；社交网络中的信息传播模型；(Disease transmission model)

简单验证码PYTHON识别源码，可用于识别简单的验证码。(Simple PYTHON identify source verification code can be used to identify a simple verification code.)

通过改进RNN神经网络经典的LSTM模型预测交通流。(prediction traffic flow)

说明：  用thensorflow实现对VGGNET深度卷积神经网络的建立。(The establishment of the VGGNET convolutional neural network is implemented with the thenthraceflow.)

说明：  周期性边界条件，边界条件，周期性，周期性边界条件；(periodic boundary condition)

说明：  通过时事数据可视化系统，可以清楚地了解全球疫情分布的状况以及密度，以便做出相应的对策(Through the current affairs data visualization system, it is possible to clearly understand the distribution and density of the global epidemic in order to make corresponding countermeasures)

【实例简介】

武汉大学算法设计与分析课件（教材：沙特版算法分析与设计），内附部分算法的Python实现，以及历年考试题目。(Wuhan University algorithm design and analysis courseware (teaching material: Saudi edition algorithm analysis and Design), enclosing the Python implementation of some algorithms, as well as examination questions over the years.)