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python实现126邮箱自动登录源码，需要一些类库支持才能运行，请先下载相关类库.(python achieve 126 mailboxes automatically log source, need some support in order to run the library, please download library.)

Python的基础资料，适合新手进行学习，附带讲解的PPT资料(Python basic materials, suitable for beginners to learn, with explanation of the PPT materials)

说明：  python 神经网络编程，附中英文版本，无付费密码，放心下载(Make Your Own Neural Network)

说明：  利用openmv硬件平台，实现颜色识别，色块跟随，并在串口打印出色块的中心坐标(Using openmv hardware platform to realize color recognition, color block following, and printing the center coordinates of excellent block at serial port)

将ARCGIS的MXD文件转换为PDF的python代码。(A simple tool to convert multiple map documents into a multi-page PDF document. This script will export multiple map document layoutinto a single # output PDF file. The script is intended to run within a script tool. There are two # parameters: # 1) Select Map Documents to Append, # 2) Output PDF.)

说明：  层次分析法，简称AHP，是指将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。(It refers to the decision-making method that divides the elements that are always related to decision-making into objectives, criteria, schemes, etc. on the basis of which qualitative and quantitative analysis can be carried out)

本构方程，用于高温粘塑性模型。的的疯狂了开发法公关部发的风风光光(umat ffgdkfjoiefkdfj)

说明：  用Python写的GM仿真汽车跟驰模型，代码模拟了一个有十辆车的汽车跟随模型。(Simulation of Car-Following Model using GM First Car-Following Model using Python This code simulates a car-following model with ten vehicles.)

说明：  国家水质评估（NAWQA）区域特征化工具箱的1.0版。ArcGIS（版本9.3和9.3.1）可使用。工具箱由一组自定义工具组成，这些工具实现了NAWQA项目使用的地理信息系统（GIS）技术，用于描述含水层区域、流域和取样井的特征。(This is release 1.0 of the National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox. These tools are designed to be accessed using ArcGIS Desktop software (versions 9.3 and 9.3.1). The toolbox is composed of a collection of custom tools that implement geographic information system (GIS) techniques used by the NAWQA Program to characterize aquifer areas, drainage basins, and sampled wells.)

1．利用RBF神经网络，解决异或问题： 1）异或问题本质上是一个二分类问题:输入为向量[x1,x2],输出是标量，取值限定为0或1.(1. Use RBF neural network to solve different or problems: 1) an xor problem is essentially a binary problem: the input is a vector [x1,x2], and the output is a scalar whose value is limited to 0 or 1.)