Chapter 1, Setting Up the Environment, tells you about what you need to get a basic Angular project up and running. The WebStorm IDE (offered by JetBrains) is free for non-commercial use and open source project. The official seed project (offered by Angular team) introduced in this chapter contains all the dependencies (Angular, TypeScript, WebPack and so on) plus the basic components to render a simple page.

Chapter 2, The Wire-Frames, demonstrates the road map we are going to explore for the rest of the book. It explains the components we are going to implement for this project and briefly introduces the services we are going to create to deliver the task of each remaining chapters.

Chapter 3, The Collector Service - Using Controllers to Collect Data, describes the basic Angular concepts like Components, data-binding, decorators and so on during implementation an HTTP service for hitting on RSS outputs and gathering some news. This is where Firebase Realtime Database will be introduced as well and we will see how to use it to record JSON objects as database entries.

Chapter 4, The Rating Service - Data Management, introduces the pipes for the first time and implements a sorting pipe for ordering data in a particular way. In this chapter, we will see how to use TypeScript classes not only to implement Components and Services, but also for creating business logic for models as well.

Chapter 5, The Notifier Service - Creating Cron Jobs in Angular, creates the logic for automated tasks. It will demonstrate a data flow which utilizes the services created in the previous chapters for collecting, rating, and storing qualified news in a list ready to be fetched and notified by the application or later via email. We will see how to implement the helper functions for calculating dates, finding out dated items, and keeping the database clean on each automated job cycle, as well.

Chapter 6, The Evidence Tree Builder Service - Implementing the Business Logic, presents the idea of gathering evidence which supports investigation for the article of our interest. We will study the ways we evaluate an article and how to measure, weigh down, and lift up the value of certain words in any article. We'll learn how to see an article as a bag of words and how to use this concept to calculate. Thus chapter also introduces two major libraries Google Custom Search Engine (CSE) and VisJS for data visualization. 

Chapter 7, The Report Generator Service - Creating Controllers to Set Report Template, exposes the possible ways for implementing parent child interaction mechanisms where the child gets data models provided by the parent and fires back requests to the parent. We will learn how to implement components to read the result of previously saved data objects, parse them, and assemble new objects that can be used as building blocks of a report.

Chapter 8, The Accuracy Manager Service - Putting It All Together, implements the cure and prevention codes inside the application and save the programming resources by halting undesired situations. We will learn how to use global variables exported from the application module in order to store local variables and analyze their contents on demand.

A usual front-end development machine with basic hardware configuration, plus latest stable versions of NodeJS, WebStorm and official Angular seed project is all you need to follow along and implement the concepts introduced in each chapter. The seed project in chapter one, contains all you need to get started. Later in the following chapters, you will need a cloud account (Google account) to benefit from CSE (Custom Search Engine) and Firebase. 

If you are a JavaScript developer who is moving on to Angular and have some experience in developing applications, then this book is for you. You need not have any knowledge of on Angular or its services.

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, path names, dummy URLs, user input, and Twitter handles are shown as follows: "The next lines of code read the link and assign it to the to the BeautifulSoup function."

A block of code is set as follows:

#import packages into the project 
from bs4 import BeautifulSoup 
from urllib.request import urlopen 
import pandas as pd

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

<head> 
<script src="d3.js" charset="utf-8"></script>  
  <meta charset="utf-8"> 
  <meta name="viewport" content="width=device-width"> 
  <title>JS Bin</title> 
</head>

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold: [default] exten => s,1,Dial(Zap/1|30) exten => s,2,Voicemail(u100) exten => s,102,Voicemail(b100) exten => i,1,Voicemail(s0) Any command-line input or output is written as follows:

C:\Python34\Scripts> pip install -upgrade pip
C:\Python34\Scripts> pip install pandas

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "In order to download new modules, we will go to Files | Settings | Project Name | Project Interpreter."

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