Full Stack JavaScript Development With MEAN

Автор: bhaer от 11-08-2016, 20:56, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ


Название: Full Stack javascript Development With MEAN
Автор: Adam Bretz, Colin J Ihrig
Издательство: SitePoint
Год: 2015
Страниц: 300
Формат: PDF
Размер: 11 Mb
Язык: English

With modern tools. it is possible to create a production grade, full-stack application using HTML, CSS, and javascript alone. The combination of MongoDB, Express, AngularJS, and Node.js has become so popular that it has earned the title MEAN stack -- the subject of this book.

This book explores the MEAN stack in detail. We will begin by covering Node.js, as it will lay the groundwork for all of our server-side work. You will learn how to get Node running on your local machine as well as download modules using npm. The key aspects of the Node.js programming model will also be covered.

From there, we will move on to MongoDB, where you'll learn how to interact with Mongo from a Node application. You will also learn how to create, retrieve, update, and delete data from a Mongo store.

After you have a solid grasp on Node and Mongo, the book will move on to the Express web server. We'll cover the basics of Express applications via topics like routes and middleware. Building on previous chapters, we will cover the integration of Node, Mongo, and Express.

Our coverage of the MEAN stack will wrap up with several chapters on AngularJS. These chapters will cover Angular fundamentals like data binding, directives, controllers, routing, and services. In an effort to explore competing technologies, a slight introduction to Ember.js will also be provided.

Full stack javascript is not fully encompassed by the MEAN stack. There is an entire ecosystem of javascript tools to learn about, and this book will introduce a few of them. We will cover task runners Gulp.js and Grunt.js which are extremely useful for automating mundane, repetitive tasks. We'll also cover JSHint, a linting tool used to improve code quality. Linting tools analyze source code and report potentials issues - a feature that is especially useful in non-compiled languages like javascript.




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