AMCAT-test-question-papers

本书是经典畅销图书《Python 核心编程（第二版）》的全新升级版本，总共分为 3 部分。 第 1 部分讲解了 Python 的一些通用应用，包括正则表达式、网络编程、Internet 客户端编程、多线程编程、GUI 编程、数据库编程、Microsoft Office 编程、扩展 Python 等内容。 第 2 部分 讲解了与 Web 开发相关的主题，包括 Web 客户端和服务器、CGI 和 WSGI 相关的 Web 编程、Diango Web 框架、云计算、高级 Web 服务。第 3 部分则为一个补充/实验章节，包括文本处理以及一些其他内容。 本书适合具有一定经验的 Python 开发人员阅读(This book is a new upgraded version of the classic best-selling book Python Core Programming (2nd Edition). It is divided into three parts. Part 1 explains some general applications of Python, including regular expressions, network programming, Internet client programming, multi-threading programming, GUI programming, database programming, Microsoft Office programming, extension of Python and so on. Part 2 Topics related to Web development are explained, including Web client and server, CGI and WSGI related Web programming, Diango Web framework, cloud computing, advanced Web services. Part 3 is a supplementary/experimental chapter, including text processing and some other contents. This book is suitable for Python developers with some experience.)

量化交易策略，华尔街宽客撰写，可值得参考。(Quantitative trading strategy, Wall Street quants writing, may be worth considering.)

模型预测控制应用到汽车上非常好的一本书，能给汽车人士提供参考。(Model predictive control in the vehicle)

说明：  trial license file supermap application

CMOS集成电路笔记，包含步骤及相关技巧经验(CMOS integrated circuits notes, including the steps and skills of the experience)

Director8的行为，初学者的参考指南，对你作课件一定有帮助的(Director8 acts a reference guide for beginners, you will certainly be helpful for courseware)

说明：  介绍了6G前言技术，发展及其应用。对通信网络下一步演进有着非常重要的意义。(This paper introduces 6G foreword technology, development and application. It is very important for the next evolution of communication network.)

优化相关文献，主要涉及遗传算法、粒子群算法、蚁群算法，新手和高手都能从中收益(optimization relevant papers, including genetic algorithm, particle algorithm, and ant colony algorithm, both amateurs and masters can benefit from the articles)

the document is a datasheet of Mifare 4K chip, and is useful to understand the Mifare applications

说明：  一份关于数据挖掘的入门资料，进行了数据挖掘的基本介绍 还介绍了聚类，关联规则，决策树，神经网络(data mining, cluster, classification, Decision tree, Neural network)