Head-First-Design-Patterns-master设计模式官方源码，Java版本，包含书中所有代码样例。

二维React扩散方程式基于Lengyel-Epstein模型的模式机器学习（20200115〜20200730） 在科学计算实验室中，这是我的第一个机器学习项目。 我们的目的是针对使用机器学习和特征工程技术从图灵模型生成的图案图像进行分类的见解。 我们的见识适用于使用NN和聚类方法（例如k均值和凝聚）从PDE生成的图像数据。 哦，SEOYOUNG和。 “通过特征工程提取模式指导的分类思路。” | ， 数据集 Lengyel–Epstein（LE）模型开发用于描述CIMA化学React MATLAB创建的Lengyel-Epstein模型中的模式| 我们选择不同的模式进行分类 流程-演示 1 。 用于色素沉着的化学预图案和React扩散模型| ：使用MATLAB在1D中生成Lengyel-Epstein方程 2 。 用MATLAB创建基于Lengyel-Epstein模型的图案图像（2D）| The。 ：通过神经网络对3种不同的模式进行分类 3 。 梯度下降| 4 。 具有Softmax的单层神经网络| 5 。 CNN（卷积神经网络）| ：CNN的性能非常好，但是我想提高单层神经网络的

Patterns for time triggered embedded systems pdf 注意：英文版清晰版 另外 还有对应的C代码一起打包 不要分 免费下载

The Joy of Patterns-Using Patterns for Enterprise Development

中文名: 实现模式 原名: Implementation Patterns 作者: Kent Beck 资源格式: PDF 版本: 英文文字版 出版社: Addison-Wesley Professional书号: 978-0321413093发行时间: 2007年11月02日 地区: 美国 语言: 英文 简介: 内容介绍： 　　在本书中，作者将自己多年形成的编程习惯以及阅读既有代码的体验凝练成了编程中的价值观、原则和77种实现模式。 　　沟通、简单和灵活的价值观应当被所有开发人员所铭记。局部影响、最小化重复、将逻辑与数据捆绑等原则同样是通用性的指导思想，比价值观更贴近编程场景，在价值观和模式之间搭建了桥梁。在77种实现模式中，每一种模式都覆盖了编写简洁、清晰、易扩展、易维护的代码这一原则的某个方面。它们为日常的编程提供了丰富翔实的参考依据，并告诉大家这些代码如何为降低沟通成本和提高有效产出提供保障。 　　本书适用于各个阶段的开发者群体。刚刚涉足软件开发领域的新人能够透过大师的眼睛来看待编程，了解编程的价值观与原则；具有丰富经验的资深工程师则可以通过这些模式进行反思，探究成功实践背后的意义。把价值观、原则和开发实践结合之后，日常开发工作便会以崭新迷人的形式呈现在我们面前。 作者介绍： Kent Beck，软件业中最具创新力、最富盛名的领袖之一。长期以来，他一直致力于挑战软件工程教条，推动模式、测试驱动开发以及极限编程等思想的应用和传播。他是T11tee RIvers Institute的创始人和董事，也是Agitar Software的成员。他在AddIson?Wesley出版了多本书籍，其中包括丁est-Driven Dpeve蛔pment（中译版《测试驱动开发》），以及与CyrlthiaAndres合著的Extreme Programming Explained（中译版《解析极限编程》） 目录: Chapter 1. Introduction Chapter 2. Patterns Chapter 3. A Theory of Programming Chapter 4. Motivation Chapter 5. Class Chapter 6. State Chapter 7. Behavior Chapter 8. Methods Chapter 9. Collections Chapter 10. Evolving Frameworks

大话设计模式书籍源代码

mods-patterns-testing

Mastering Python Design Patterns: A guide to creating smart, efficient, and reusable software, 2nd Edition Exploit various design patterns to master the art of solving problems using Python Python is an object-oriented scripting language that is used in a wide range of categories. In software engineering, a design pattern is an elected solution for solving software design problems. Although they have been around for a while, design patterns remain one of the top topics in software engineering, and are a ready source for software developers to solve the problems they face on a regular basis. This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on common solutions as enabled in Java and C++. You’ll also fnd sections on corrections, best practices, system architecture, and its designing aspects. This book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems. You’ll focus on most of the Gang of Four (GoF) design patterns, which are used to solve everyday problems, and take your skills to the next level with reactive and functional patterns that help you build resilient, scalable, and robust applications. By the end of the book, you’ll be able to effciently address commonly faced problems and develop applications, and also be comfortable working on scalable and maintainable projects of any size.

a-little-java-a-few-patterns 非扫描版． 非常清楚．

It’s all too common for developers to start coding an application without a formal architecture in place. Without a clear and welldefined architecture, most developers and architects will resort to the de facto standard traditional layered architecture pattern (also called the n-tier architecture), creating implicit layers by separating source-code modules into packages. Unfortunately, what often results from this practice is a collection of unorganized source-code modules that lack clear roles, responsibilities, and relationships to one another. This is commonly referred to as the big ball of mud architecture anti-pattern. Applications lacking a formal architecture are generally tightly coupled, brittle, difficult to change, and without a clear vision or direction. As a result, it is very difficult to determine the architectural characteristics of the application without fully understanding the inner-workings of every component and module in the system. Basic questions about deployment and maintenance are hard to answer: Does the architecture scale? What are the performance characteristics of the application? How easily does the application respond to change? What are the deployment characteristics of the application? How responsive is the architecture? Architecture patterns help define the basic characteristics and behavior of an application. For example, some architecture patterns naturally lend themselves toward highly scalable applications, whereas other architecture patterns naturally lend themselves toward applications that are highly agile. Knowing the characteristics, strengths, and weaknesses of each architecture pattern is necesv sary in order to choose the one that meets your specific business needs and goals.