python的正则表达式

说明：  读取VECTOR或ETAS等汽车CAN分析工具数据的MDF格式(MDF Format for Reading Data of Vehicle CAN Analysis Tools such as VECTOR or ETAS)

用于学习python与cookbook的一本书，适用于python小伙伴(A book for learning Python and cookbook, for Python buddies)

system of pv control for basic with error

openssl实现客户端与服务器证书创建生成并验证(openssl to achieve the client and server certificates are created and generated verification)

说明：  Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)

分词方法总体上分为两类，一是非基于词典的分词，相当于人工智能领域计算。一般用于机器学习，特定领域等方法，这种在特定领域的分词可以让计算机在现有的规则模型中，推理如何分词，精确度较高，实现相对复杂。二是基于词典的分词，是最常见的分词方法，具体算法有正向最大匹配法（FMM）、逆向最大匹配法（RMM）和双向最大匹配法（BM）。本文在学习正向最大匹配算法的同时，用Python进行分词实现。本文使用的是 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

编程规范是重中之重，带你书写良好的变成习惯(It is used to measure noise and detect road noise pollution. It is accurate and has good effect.)

机器学习实战的KNN代码实现,根据书上讲解及代码的编辑实现，原始数据的话可以自己随便自己早一早，也可以上网搜一下代码 

说明：  使用python编程语言实现了蚁群优化算法，有利于新人增强对该算法的了解。(Ant colony optimization algorithm is imple)

AP聚类算法用python实现的代码。代码可靠，可以直接运行。代码使用python3写的。(The AP clustering algorithm uses python to implement the code. The code is reliable and can be run directly. The code is written in python3.)