Skip to main content

Related Articles

Adding styles to your Angular App



  How to set up Angular environment

             How to create Angular project

             How to generate component and define routings in Angular


Let’s make our app little bit interactive.

You can put all your common style of your application to style.css file which applies globally.

Copy and paste below code in your style.css file

/* You can add global styles to this file, and also import other style files */

@import url('https://fonts.googleapis.com/css?family=Nunito:400,700&display=swap');

$primary: rgb(216, 172, 78);

body {

    margin: 0;

    font-family: 'Nunito', 'sans-serif';

    font-size: 18px;

}

.container {

    width: 80%;

    margin: 0 auto;

}

header {

    background: $primary;

    padding: 1em 0;

    a {

        color: white;

        text-decoration: none;

    }

    a.logo {

        font-weight: bold;

    }

    nav {

        float: right;

        ul {

            list-style-type: none;

            margin: 0;

            display: flex;

            li a {

                padding: 1em;

                &:hover {

                    background: darken($primary, 10%);

                }

            }

        }

    }

}

h1 {

    margin-top: 2em;

}

Copy and paste below code in your app.component.html

<header>

  <div class="container">

    <a href="" class="logo">My flower shop</a>

    <nav>

      <ul>

        <li><a href="" routerLink="/">Landing</a></li>

        <li><a href="" routerLink="/home">Home</a></li>

      </ul>

    </nav>

  </div>

</header>

 

<div class="container">

  <router-outlet></router-outlet>

</div>

 

Copy paste below code in your landing.component.html file

 

<h1>Welcome to my flower store</h1>

 

  That is all. Now you will see your app as below.

Welcome to my flower store page


Comments

Popular posts from this blog

The Power of ChatGPT and Whisper Models

A Deep Dive into Natural Language Processing Natural Language Processing (NLP) has seen a significant boost in recent years due to advancements in artificial intelligence and machine learning. Two models that have shown remarkable success in NLP are ChatGPT and Whisper. In this article, we will delve into the power of these models and their applications in the field of NLP. ChatGPT is a transformer-based language model developed by OpenAI that uses unsupervised learning to predict the next word in a sentence based on the context of previous words. ChatGPT is a generative model that is trained on large datasets of text, such as books and articles, and can be fine-tuned for specific tasks, such as question-answering or dialogue generation. ChatGPT is known for its ability to produce human-like text, making it an ideal tool for applications such as chatbots, content creation, and language translation. Whisper, on the other hand, is a paraphrasing model developed by Google that is based on

Building robust APIs with Node.js

Node.js is a popular open-source JavaScript runtime environment that allows developers to build scalable and high-performance web applications. One of the key strengths of Node.js is its ability to build APIs quickly and efficiently. APIs, or Application Programming Interfaces, allow different systems to communicate with each other, enabling data exchange and other operations. Building robust APIs with Node.js requires an understanding of RESTful architecture, which is a widely adopted standard for creating APIs. RESTful APIs provide a standardized way to expose data and functionality over the web using a set of HTTP methods such as GET, POST, PUT, and DELETE. To build a robust Node.js API, developers must choose an appropriate framework and set up a development environment. They should also handle errors and exceptions, implement authentication and authorization, and use middleware to enhance the functionality of the API. Writing test cases, documenting the API using tools such as Swa

DevOps automation using Python - Part 2

Please read  DevOps automation using Python - Part 1 article before this article, since this is a continuation the same. Introduction to network automation with Python and Netmiko Network automation involves automating the tasks of network devices such as switches, routers, and firewalls to improve efficiency and reduce errors. Python is a popular programming language used for network automation due to its simplicity and ease of use. Netmiko is a Python library used to automate network devices that support SSH connections. In this article, we will provide an introduction to network automation with Python and Netmiko . Setting up Python and Netmiko To get started, you will need to install Python on your machine. You can download the latest version of Python from the official website ( https://www.python.org/downloads/ ) and install it according to the installation instructions for your operating system. Once you have installed Python, you can install Netmiko using pip, a Python package