出现在书名中的结果
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Vue.js 2 Design Patterns and Best Practices
1人今日阅读
This book targets Vue Developers who care about framework design principles and utilize commonly found design patterns in developing web applications.
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Project Requirements: A Guide to Best Practices
Project Requirements: A Guide to Best Practices gives project managers tools they can assimilate and apply easily to improve project success rates, reduce development costs, reduce rework, and accelerate time to market.
Design Patterns and Best Practices in Java
Having a knowledge of design patterns enables you, as a developer, to improve your code base, promote code reuse, and make the architecture more robust. As languages evolve, new features take time to fully understand before they are adopted en masse. The mission of this book is to ease the adoption of the latest trends and provide good practices for programmers.We focus on showing you the practical aspects of smarter coding in Java. We'll start off by going over object-oriented (OOP) and functional programming (FP) paradigms, moving on to describe the most frequently used design patterns in their classical format and explain how Java’s functional programming features are changing them.You will learn to enhance implementations by mixing OOP and FP, and finally get to know about the reactive programming model, where FP and OOP are used in conjunction with a view to writing better code. Gradually, the book will show you the latest trends in architecture, moving from MVC to microservices and serverless architecture. We will finish off by highlighting the new Java features and best practices. By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size.
Django Design Patterns and Best Practices
This book is for you whether you’re new to Django or just want to learn its best practices. You do not have to be an expert in Django or Python. No prior knowledge of patterns is expected for reading this book but it would be helpful.
Django Design Patterns and Best Practices
If you want to learn how best to utilize commonly found patterns and learn best practices in developing applications with Django, this is the book for you. This book, like Django itself, is accessible to amateur and professional developers alike and assumes little in the way of prior experience.Although written for Python 3, the majority of the code in this book works in Python 2 or can be easily translated.
Visual Studio 2010 Best Practices
It will be a step-by-step tutorial that will discuss best practices. The book is structured in such a way that it can be read both from start to end or can dipped into. .Net developers using Visual Studio for programming will find this book useful. If you are developing your application with C#, you will find better ways to do things with Visual Studio. You should know basics of development with .Net Framework and need working knowledge on VIsual Studio
Hands-On RESTful API Design Patterns and Best Practices
This book deals with the Representational State Transfer (REST) paradigm, which is an architectural style that allows networked devices to communicate with each other over the internet. With the help of this book, you’ll explore the concepts of service-oriented architecture (SOA), event-driven architecture (EDA), and resource-oriented architecture (ROA). This book covers why there is an insistence for high-quality APIs toward enterprise integration.It also covers how to optimize and explore endpoints for microservices with API gateways and touches upon integrated platforms and Hubs for RESTful APIs. You’ll also understand how application delivery and deployments can be simplified and streamlined in the REST world. The book will help you dig deeper into the distinct contributions of RESTful services for IoT analytics and applications.Besides detailing the API design and development aspects, this book will assist you in designing and developing production-ready, testable, sustainable, and enterprise-grade APIs. By the end of the book, you’ll be empowered with all that you need to create highly flexible APIs for next-generation RESTful services and applications.
Concurrent Patterns and Best Practices
Selecting the correct concurrency architecture has a significant impact on the design and performance of your applications. This book explains how to leverage the different characteristics of parallel architecture to make your code faster and more efficient. To start with, you'll understand the basic concurrency concepts and explore patterns around explicit locking, lock free programming, futures & actors. Then, you'll get insights into different concurrency models and parallel algorithms and put them to practice in different scenarios to realize your application's true potential. We'll take you through multithreading design patterns, such as master, slave, leader, follower, map-reduce, and monitor, also helping you to learn hands-on coding using these patterns. Once you've grasped all of this, you'll move on to solving problems using synchronizer patterns. You'll discover the rationale for these patterns in distributed & parallel applications, followed by studying how future composition, immutability and the monadic flow help create more robust code. Toward the end of the book, you'll learn about the actor paradigm and actor patterns - the message passing concurrency paradigm.
Cloud Native Development Patterns and Best Practices
This book is for developers who would like to progress into building cloud-native systems and are keen to learn the patterns involved. Basic knowledge of programming and cloud computing is required.
Hyper-V 2016 Best Practices
If you are working with Hyper-V and want to optimize its performance and effectiveness, this book is for you. This book will help you close the gap between the Hyper-V lab and production environments.
DAMA数据管理知识体系指南（原书第2版）
22人今日阅读 推荐值 92.0%
本书是国际数据管理协会（DAMA国际）组织众多国际专家对过去30多年数据管理领域知识和实践的总结，是市场上综合了数据管理方方面面的一部具有性的基础工具书。从数据治理、数据架构、数据质量、数据安全、主数据管理、参考数据管理、元数据管理、商务智能和数据参考管理、数据建模设计、数据存储和操作、数据集成和互操作、文档和内容管理、大数据、数据管理人员的道德要求等方面介绍了数据管理的知识体系。
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