python http 客户端

说明：  用Python完成了github的oauth2功能(The OAuth 2 function of GitHub is completed with Python)

说明：  Python的入门书籍，很适合新手进行阅读(Python's introductory books)

本代码是使用lstm进行时间序列预测，能够很清晰的说明如何使用lstm(Time series prediction using LSTM)

说明：  python 调用 cad 随机骨料模型(Python calls CAD random aggregate model)

基于python-flask的个人博客系统

说明：  使用双向LSTM神经网络预测时间序列，70%的训练集(Bidirectional LSTM neural networks are used to predict time series)

说明：  一款简单的ABAQUS施加周期性边界条件的插件(A Simple ABAQUS Plug-in with Periodic Boundary Conditions)

非常有用的Abaqus用户子程序UMAT(Very useful user subroutine UMAT of Abaqus)

说明：  　其中x是任何一个大于xmin的数，xmin是X最小的可能值（正数），k是为正的参数。帕累托分布曲线族是由两个数量参数化的：xmin和k。(Where x is any number greater than xmin,xmin is the smallest possible value of x (positive), and k is a positive parameter the Pareto family of distribution curves is parameterized by two quantities :xmin and K)

说明：  Python source SNAP7 lib