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Vue.js is a versatile and progressive JavaScript framework for building user interfaces. Its simplicity and powerful features make it an excellent choice for modern web applications. In this article, we will walk through creating a VueJS application from scratch on both Windows and Linux.

Prerequisites

Before starting, ensure you have the following tools installed on your system:

For Windows:

  1. Node.js and npm
    • Download and install from Node.js official website.
    • During installation, ensure you check the option to add Node.js to your system PATH.
    • Verify installation:
      node -v
      npm -v
      
  2. Command Prompt or PowerShell
    • These are pre-installed on Windows and will be used to execute commands.
  3. Vue CLI
    • Install globally using npm:
      npm install -g @vue/cli
      
    • Verify Vue CLI installation:
      vue --version
      

For Linux:

  1. Node.js and npm

    • Install via package manager:
      curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
      sudo apt install -y nodejs
      
    • Replace 18.x with the desired Node.js version.
    • Verify installation:
      node -v
      npm -v
      
  2. Terminal

    • Pre-installed on most Linux distributions and used for executing commands.
  3. Vue CLI

    • Install globally using npm:
      npm install -g @vue/cli
      
    • Verify Vue CLI installation:
      vue --version
      
  4. Curl

    • Required for downloading Node.js setup scripts (pre-installed on many distributions, or install via your package manager).
  5. Code Editor (Optional)

    • Visual Studio Code (VSCode) is highly recommended for its features and extensions. Install extensions like Vetur or Vue Language Features for enhanced development.

Step-by-Step Guide

1. Setting Up VueJS on Windows

Install Node.js and npm

  1. Download the Windows installer from the Node.js website and run it.
  2. Follow the installation wizard, ensuring npm is installed alongside Node.js.
  3. Verify installation:
    node -v
    npm -v
    

Install Vue CLI

  1. Open a terminal (Command Prompt or PowerShell) and run:
    npm install -g @vue/cli
    vue --version
    

Create a New Vue Project

  1. Navigate to your desired directory:
    cd path\to\your\project
    
  2. Create a VueJS app:
    vue create my-vue-app
    
    • Choose "default" for a simple setup or manually select features like Babel, Vue Router, or TypeScript.
  3. Navigate into the project directory:
    cd my-vue-app
    
  4. Start the development server:
    npm run serve
    
  5. Open http://localhost:8080 in your browser to view your app.

2. Setting Up VueJS on Linux

Install Node.js and npm

  1. Update your package manager:
    sudo apt update
    sudo apt upgrade
    
  2. Install Node.js:
    curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
    sudo apt install -y nodejs
    
    Replace 18.x with the desired Node.js version.
  3. Verify installation:
    node -v
    npm -v
    

Install Vue CLI

  1. Install Vue CLI globally:
    npm install -g @vue/cli
    vue --version
    

Create a New Vue Project

  1. Navigate to your working directory:
    cd ~/projects
    
  2. Create a VueJS app:
    vue create my-vue-app
    
    • Choose the desired features.
  3. Navigate into the project directory:
    cd my-vue-app
    
  4. Start the development server:
    npm run serve
    
  5. Open http://localhost:8080 in your browser to view your app.

Code Example: Adding a Component

  1. Create a new component, HelloWorld.vue, in the src/components directory:

    <template>
      <div>
        <h1>Hello, VueJS!</h1>
      </div>
    </template>
    
    <script>
    export default {
      name: "HelloWorld",
    };
    </script>
    
    <style scoped>
    h1 {
      color: #42b983;
    }
    </style>

     

  2. Import and use the component in src/App.vue:

    <template>
      <div id="app">
        <HelloWorld />
      </div>
    </template>
    
    <script>
    import HelloWorld from "./components/HelloWorld.vue";
    
    export default {
      name: "App",
      components: {
        HelloWorld,
      },
    };
    </script>

     


Code Example: MVVM Pattern in VueJS

The Model-View-ViewModel (MVVM) architecture separates the graphical user interface from the business logic and data. Here's an example:

Model

Define a data structure in the Vue component:

export default {
  data() {
    return {
      message: "Welcome to MVVM with VueJS!",
      counter: 0,
    };
  },
  methods: {
    incrementCounter() {
      this.counter++;
    },
  },
};

View

Bind the data to the template:

<template>
  <div>
    <h1>{{ message }}</h1>
    <p>Counter: {{ counter }}</p>
    <button @click="incrementCounter">Increment</button>
  </div>
</template>

ViewModel

The data and methods act as the ViewModel, connecting the template (View) with the business logic (Model).


Tips

  • Use Vue DevTools for debugging: Available as a browser extension for Chrome and Firefox.
  • Leverage VSCode extensions like Vetur or Vue Language Features for enhanced development.

The Model-View-ViewModel (MVVM) architectural pattern is widely used in modern software development for creating applications with a clean separation between user interface (UI) and business logic. Originating from Microsoft's WPF (Windows Presentation Foundation) framework, MVVM has found applications in various programming environments, including web development frameworks like Vue.js, Angular, and React (when combined with state management libraries).

What is MVVM?

The MVVM pattern organizes code into three distinct layers:

1. Model

The Model is responsible for managing the application's data and business logic. It represents real-world entities and operations without any concern for the UI.

  • Responsibilities:
    • Fetching, storing, and updating data.
    • Encapsulating business rules and validation logic.
  • Examples:
    • Database entities, APIs, or data models in memory.

2. View

The View is the visual representation of the data presented to the user. It is responsible for displaying information and capturing user interactions.

  • Responsibilities:
    • Rendering the UI.
    • Providing elements like buttons, text fields, or charts for user interaction.
  • Examples:
    • HTML templates, XAML files, or UI elements in a desktop application.

3. ViewModel

The ViewModel acts as a mediator between the Model and the View. It binds the data from the Model to the UI and translates user actions into commands that the Model can understand.

  • Responsibilities:
    • Exposing the Model's data in a format suitable for the View.
    • Implementing logic for user interactions.
    • Managing state.
  • Examples:
    • Observable properties, methods for handling button clicks, or computed values.

Why Use MVVM?

Adopting the MVVM pattern offers several benefits:

  1. Separation of Concerns:

    • Clear boundaries between UI, data, and logic make the codebase more maintainable and testable.
  2. Reusability:

    • Components such as the ViewModel can be reused across different views.
  3. Testability:

    • Business logic and data operations can be tested independently of the UI.
  4. Scalability:

    • Encourages modularity, making it easier to scale applications as they grow.

MVVM in Practice: Example with Vue.js

Scenario

A simple counter application where users can increment a number by clicking a button.

Implementation

Model

Defines the data and business logic:

export default {
  data() {
    return {
      counter: 0,
    };
  },
  methods: {
    incrementCounter() {
      this.counter++;
    },
  },
};

View

The template displays the UI:

<template>
  <div>
    <h1>Counter: {{ counter }}</h1>
    <button @click="incrementCounter">Increment</button>
  </div>
</template>

ViewModel

Binds the Model to the View:

export default {
  name: "CounterApp",
  data() {
    return {
      counter: 0,
    };
  },
  methods: {
    incrementCounter() {
      this.counter++;
    },
  },
};

Best Practices for Implementing MVVM

  1. Keep Layers Independent:

    • Avoid tightly coupling the View and Model. The ViewModel should act as the sole intermediary.
  2. Leverage Data Binding:

    • Utilize frameworks or libraries with robust data binding to keep the View and ViewModel synchronized seamlessly.
  3. Minimize ViewModel Complexity:

    • Keep the ViewModel focused on presenting data and handling user interactions, not complex business logic.
  4. Test Each Layer Separately:

    • Write unit tests for the Model and ViewModel and UI tests for the View.

When to Use MVVM?

MVVM is ideal for:

  • Applications with complex user interfaces.
  • Scenarios requiring significant state management.
  • Teams where developers and designers work independently.

Conclusion

The MVVM pattern is a robust architectural solution for creating scalable, maintainable, and testable applications. By clearly separating responsibilities into Model, View, and ViewModel layers, developers can build applications that are easier to develop, debug, and extend. Whether you're working on a desktop application or a modern web application, understanding and implementing MVVM can significantly enhance the quality of your codebase.

Start applying MVVM in your projects today and experience the difference it can make in your development workflow!

List By: Miko Pawlikowski 
Descriptions By:
Jessica Brown
Published: December 29, 2024


Software engineering is a discipline that balances technical precision, creativity, and collaboration. These 17 subtle rules provide insights to improve the quality of code, foster teamwork, and guide sustainable practices.

0. Stop Falling in Love with Your Own Code

When you become too attached to your code, you may resist valuable feedback or overlook its flaws. Always prioritize the quality of the solution over personal pride. It's common for engineers to feel a sense of ownership over their code. While this passion is commendable, it can lead to bias, making it hard to see where improvements or simplifications are needed. Detach emotionally and view feedback as an opportunity to improve, not a critique of your skills.

1. You Will Regret Complexity When On-Call

Overly complex systems are hard to debug, especially during emergencies. Strive for simplicity, making it easier for others (and your future self) to understand and maintain. Complexity often creeps in unnoticed, through clever solutions or layers of abstraction. However, when systems fail, it's the simpler designs that are easier to troubleshoot. Use complexity judiciously and only when it's absolutely necessary to meet requirements.

2. Everything is a Trade-Off. There's No "Best"

Every design decision involves compromises. The "best" solution depends on the context, constraints, and goals of the project. Choosing a database, framework, or algorithm involves balancing speed, scalability, maintainability, and cost. Recognize that no solution excels in every category. Acknowledge the trade-offs and ensure your choices align with the project's priorities.

3. Every Line of Code You Write is a Liability

Code requires maintenance, testing, and updates. Write only what is necessary and consider the long-term implications of every addition. Each line of code introduces potential bugs, security vulnerabilities, or technical debt. Minimize code by reusing existing libraries, automating where possible, and ensuring that each addition has a clear purpose.

4. Document Your Decisions and Designs

Good documentation saves time and prevents confusion. Capture the reasoning behind decisions, architectural diagrams, and usage guidelines. Documentation acts as a map for future developers. Without it, even straightforward systems can become inscrutable. Write with clarity and ensure that your documentation evolves alongside the code.

5. Everyone Hates Code They Didn't Write

Familiarity breeds fondness. Review others' code with empathy, recognizing the constraints they faced and the decisions they made. It's easy to criticize unfamiliar code. Instead, approach it with curiosity: Why were certain decisions made? What challenges were faced? Collaborative and constructive feedback fosters a more supportive team environment.

6. Don't Use Unnecessary Dependencies

Dependencies add risk and complexity. Evaluate whether you truly need an external library or if a simpler, inhouse solution will suffice. While dependencies can save development time, they may introduce vulnerabilities, licensing concerns, or compatibility issues. Regularly audit your dependencies and remove any that are redundant or outdated.

7. Coding Standards Prevent Arguments

Adhering to established coding standards reduces debates over style, allowing teams to focus on substance. Standards provide consistency, making code easier to read and maintain. Enforce them with tools like linters and code formatters, ensuring that discussions focus on logic and architecture rather than aesthetics.

8. Write Meaningful Commit Messages

Clear commit messages make it easier to understand changes and the rationale behind them. They are essential for effective collaboration and debugging. A commit message should explain the "why" behind a change, not just the "what." This helps future developers understand the context and reduces time spent deciphering history during troubleshooting.

9. Don't Ever Stop Learning New Things

Technology evolves rapidly. Stay curious and keep up with new tools, frameworks, and best practices to remain effective. The software industry is dynamic, with innovations appearing regularly. Make continuous learning a habit, through courses, conferences, or simply experimenting with new technologies.

10. Code Reviews Spread Knowledge

Code reviews are opportunities to share knowledge, identify improvements, and maintain consistency across the codebase. Reviews aren't just for catching bugs; they're a chance to mentor junior developers, share context about the codebase, and learn from peers. Encourage a culture where reviews are collaborative, not adversarial.

11. Always Build for Maintainability

Prioritize readability and modularity. Write code as if the next person maintaining it is a less experienced version of yourself. Maintainable code is self-explanatory, well-documented, and structured in a way that modifications don't introduce unintended side effects. Avoid shortcuts that save time now but create headaches later.

12. Ask for Help When You're Stuck

Stubbornness wastes time and energy. Leverage your team's knowledge to overcome challenges more efficiently. No one has all the answers, and seeking help is a sign of strength, not weakness. Asking for assistance early can prevent wasted effort and lead to better solutions.

13. Fix Root Causes, Not Symptoms

Patchwork fixes lead to recurring problems. Invest the time to identify and resolve the underlying issues. Quick fixes may address immediate symptoms but often exacerbate underlying problems. Use tools like root cause analysis to ensure long-term stability.

14. Software is Never Completed

Software evolves with changing requirements and environments. Embrace updates and refactorings as a natural part of the lifecycle. Even after release, software requires bug fixes, feature enhancements, and adjustments to new technologies. Treat software as a living entity that needs regular care.

15. Estimates Are Not Promises

Treat estimates as informed guesses, not guarantees. Communicate uncertainties and assumptions clearly. Overpromising can erode trust. Instead, explain what factors might affect timelines and provide regular updates as the project progresses.


16. Ship Early, Iterate Often

Releasing early and frequently allows you to gather feedback, address issues, and refine your product based on real-world usage. Getting a minimal viable product (MVP) into users' hands quickly provides valuable insights. Iterative development helps align the product more closely with user needs and reduces the risk of large-scale failures.

These rules aren't hard-and-fast laws but guiding principles to help software engineers navigate the complexities of their craft. Adopting them can lead to better code, smoother collaborations, and more resilient systems.

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