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通过Python实现的桥梁管理系统 桌面程序，管理桥梁的各类参数。实现登录功能及各种参数管理，权限管理。(bridge infomation system)

说明：  洛谷OJ P1000,1421,1422,1425 Python 3 代码(Luogu OJ P1000,1421,1422,1425 in Python 3)

说明：  这是用python语言编写的bp神经网络算法，用来评估算法的正交验证得分和平均准确率(This is a BP neural network algorithm written in Python language, which is used to evaluate the orthogonal verification score and average accuracy of the algorithm)

说明：  WGAN生成对抗网络代码实例，为下载者提供一种思路(WGAN generates adversarial network code, provides an idea)

说明：  应用python实现的乘法表，适用于初学python编程的学者作为参考(The multiplication table implemented by Python is suitable for beginners of Python programming.)

说明：  通过离散点坐标数据，计算简单TIN三角网连接方式，并进行绘制(Through discrete point coordinate data, simple TIN triangulation connection mode is calculated and plotted)

说明：  了解基本编程知识，熟悉编程算法，递归算法画五角星。(Understand basic programming knowledge, familiar with programming algorithm, recursive algorithm drawing pentagon.)

DotNetBar 7.3 在C#环境下的GIS桌面系统，界面非常美观，值得借鉴。 (DotNetBar 7.3 and ArcEngine)

说明：  BP(back propagation)神经网络是1986年由Rumelhart和McClelland为首的科学家提出的概念，是一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络，py实现(BP (back propagation) neural network is a concept put forward by Rumelhart and McClelland in 1986. It is a multi-layer feedforward neural network trained by error back propagation algorithm. It is the most widely used neural network at present.)

在python中编写代码运行粗糙集计算程序，获得依赖度数据(based on python, the function which uses rough sets theory can be calculated.)