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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：  python curses source code pgen2

基于LDA的人脸降维，精度比二维LDA的要高，有一定的运用价值。(orl tensorflow LDA PCA)

Subterranean homesick alien

格子玻尔兹曼 圆柱绕流 Python编写(lattice boltzmann flow around a cylinder, using Python. very fast because of numpy library)

abaqus的平板约束数值模拟源文件，适合abaqus新手操作练习使用(ABAQUS source files for numerical simulation of plate constraints, suitable for ABAQUS novice operation exercises)

说明：  周期边界，通过python代码实现，abaqus多尺度仿真，有效性能计算，复合材料(Periodic boundary, implemented by Python code, ABAQUS multi-scale simulation, effective performance calculation, composite materials)

在三维圆柱体中，利用Python语言编写的随机球形骨料，利用abaqus进行模拟。

本书由 Immunity 公司的高级安全研究员 Justin Seitz 精心撰写。作者根据自己在安全界，特别是渗透测试领域的几十年经验，向读者介绍了 Python 如何被用在黑客和渗透测试的各个领域，从基本的网络扫描到数据包捕获，从 Web 爬虫到编写 Burp 扩展工具，从编写木马到权限提升等。(The book is written by Justin Seitz, a senior security researcher at Immunity company. Based on his decades of experience in the security community, especially in the field of penetration testing, the author introduces how Python is used in various fields of hacker and penetration testing, from basic network scanning to packet capture, from Web crawler to Burp extension tool, from writing Trojan to privilege escalation, and so on.)

说明：  基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method and scikit SVM)