数据库
「数据库」全部图书(无网盘链接的也可浏览详情)
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TypeScript Microservices
数据库
This book is for JavaScript developers seeking to utilize their Node.js and Typescript skills to build microservices and move away from the monolithic architecture. Prior knowledge
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Hands-On High Performance with Spring 5
数据库
If you’re a Spring developer who’d like to build high performance applications and have more control over your application's performance in production and development, this bo
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Google Cloud Platform for Architects
数据库
If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise a
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Learn Unity ML-Agents:Fundamentals of Unity Machine Learning
数据库
This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity. The reader will be required to have a
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Mastering ROS for Robotics Programming(Second Edition)
数据库
If you are a robotics enthusiast or researcher who want to learn more about building robot applications using ROS, this book is for you. In order to learn from this book, you shoul
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Learning NGUI for Unity
数据库
If you are a Unity 3D developer who wants to create an effective and user-friendly GUI using NGUI for Unity, then this book is for you. Prior knowledge of C# scripting is expected;
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Game Development with Swift
数据库
If you wish to create and publish fun iOS games using Swift, then this book is for you. You should be familiar with basic programming concepts. However, no prior game development o
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Node.js High Performance
数据库
Node.js is a tool written in C, which allows you to use JavaScript on the server-side. High performance on a platform like Node.js is knowing how to take advantage of every aspect
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Microsoft Dynamics NAV 2015 Professional Reporting
数据库
If you are a consultant, developer, customer, user, or just interested in the reporting capabilities of Dynamics NAV, then this book is for you.Basic knowledge of Dynamics NAV will
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Mobile Application Penetration Testing
数据库
If you are a mobile application evangelist, mobile application developer, information security practitioner, penetration tester on infrastructure web applications, an application s
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Swift 2 By Example
数据库
This book is ideal for those who want to learn to develop app in Swift, starting the right way. Whether you are an expert Objective-C programmer or are new to this platform, you’ll
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Creating Dynamic UIs with Android Fragments(Second Edition)
数据库
This book is for developers with a basic understanding of Android programming who would like to improve the appearance and usability of their applications by creating a more intera
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Learning Proxmox VE
数据库
This book is intended for server and system administrators and engineers who are eager to take advantage of the potential of virtual machines and containers to manage servers more
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CORS Essentials
数据库
Web developers have been limited by the Same Origin Policy and often wish they could spread their application across different domains. You know JavaScript and AJAX, and have run u
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Java Deep Learning Essentials
数据库
This book is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It would also be good for machine learning users who intend
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Visual Studio 2015 Cookbook(Second Edition)
数据库
If you are a developer excited about the new features introduced in Visual Studio 2015, then no matter what your programming language of choice is, Visual Studio 2015 Cookbook is f
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Swift:Developing iOS Applications
数据库
This course would be for app developers who are new to developing for iOS or OSX and are trying to get grips with Swift for the first time.
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Java Data Science Cookbook
数据库
This book is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro.
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数据时代的品牌智造
数据库
本书共分11章,以成功打造品牌的11个实操步骤为行文逻辑,分别介绍了“圈脑”为上、奇货可居、善解人意、价值独占、演绎传奇、符号记易、创优体验、借势用巧、汇聚百工、文案攻心、心中有数等内容,为企业从无到有创建品牌,提供系统专业、卓有成效的实操方法论及实用战术工具。
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Effective Amazon Machine Learning
数据库
This book is intended for data scientists and managers of predictive analytics projects; it will teach beginner- to advanced-level machine learning practitioners how to leverage Am