Javascript

An Introduction to Node.js

Published Dec 9, 2020

Updated Feb 14, 2023

6 min read

This article was written over 18 months ago and may contain information that is out of date. Some content may be relevant but please refer to the relevant official documentation or available resources for the latest information.

An Introduction to Node.js

Node.js is an open source project that allow you to run JavaScript outside of the browser. As a consequence, Node has become very prevalent, and is a popular choice for backend projects.

What is Node.js?

Node.js is a JavaScript runtime environment that uses the V8 JavaScript engine, which also powers Google Chrome. Since Node.js uses V8, it benefits from all of the same optimizations that Chrome gets as well. Node.js is well suited for highly concurrent programs because it encourages writing programs using non-blocking paradigms.

Installation

Node can be installed for any platform on their website. If you're using Linux, you may also opt to use your package manager if it has a suitable version. The Windows installer will ask you to add Node to your path during installation. Make sure you do that so node can be invoked on the command-line.

The Node.js REPL

If you type node into a command-line (powershell, terminal, etc) you should get a > prompt. Anything you type after this prompt will be parsed and executed as JavaScript. REPL, which stands for "read–eval–print loop", is an interactive programming environment. It reads your input code, parses and executes your code (evaluates), and prints the result. REPLs are useful for trying out small pieces of code, and even for addressing issues in a debugger.

Trying it out!

Try putting some JavaScript code into the REPL yourself! If node was added to your path, then simply typing node should start the REPL. You can input arbitrary expressions into the REPL, and they will get evaluated and return the result directly to you, without console.log()!

Here is an example function that calculates the fibonacci number, provided that it can be pasted directly into the REPL:

function fibonacci(n) {
  if (n < 2) return n;
  return fibonacci(n - 1) + fibonacci(n - 2);
}

fibonacci(10);

The result of any expression will be print to the console. Optionally, you can also assign the result to a variable for use later.

const result = fibonacci(10);

This will return undefined in the REPL as statements don't return anything. You can input the name of the variable to check the value that got assigned. You don't need to call console.log() to check the values of variables in the REPL.

Executing Node.js Files

If you want to keep the code for later use, store it in a file. The REPL should only be used for testing ideas and debugging. The fibonacci function can be added to a .js file, and invoked on the command-line using node to make it reusable.

fibonacci.js

function fibonacci(n) {
  if (n < 2) return n;
  return fibonacci(n - 1) + fibonacci(n - 2);
}

const inputNumber = process.argv[2];
const result = fibonacci(inputNumber);
console.log(result);

Once saved, this program can be executed with a number of your choice: node fibonacci.js 15. You may notice the call to process.argv and wonder what it is. They are the command-line arguments passed into the program. Our number '15' is at index 2.

On my system, the contents of this variable include the following:

[ '/home/walter/.nvm/versions/node/v10.22.1/bin/node',
  '/home/walter/fibonacci.js',
  '40' ]

The first value is the node executable, the second is the path to the script, and the third includes the actual parameters passed into the program. The first 2 values will always be present when executing a Node.js script from a file.

Node Standard Library

Node.js has its own standard library that is not included in browsers. The standard library allows you to do many of the things expected of a scripting language, such as reading from and writing to files, opening sockets, and even building HTTP servers!

The standard library can be used by importing modules with require(). Here's a simple example of using the os module to determine which platform Node.js is running on:

const os = require('os');

console.log(os.platform()); // Prints your platform, in my case 'linux'.

The standard library is great, but it doesn't do everything. The Node.js community has created thousands of open source libraries and frameworks that you can get, free of charge, from npm. We'll cover how to use the npm package manager in a future post.

Concurrency and the Event Loop

Node.js uses an event loop to perform non-blocking I/O operations. JavaScript is single-threaded and can only execute your code in a single sequence, one instruction at a time. Worker threads allows you to have multi-threaded programs in JavaScript; however, the event loop is better suited for most concurrent operations such as downloading something over the network, making an API call or handling an event.

You may come across functions that make you pass callback functions or use async / await syntax to use the results. Those callbacks are usually executed after non-blocking I/O has completed, and it's the event loop that starts executing that code. You don't need to think about the event loop most of the time when you're writing JavaScript, but it's important to know that it exists as abusing it can impact performance negatively.

As described in the Node.js event loop documentation, each of the aforementioned steps are phases that are special in their own right. We won't dig into too much detail about each phase as we just care about the fundamentals, but the documentation describes them well if you're curious.

The main takeaway here is that concurrency, using the event loop, doesn't behave the same way multi-threading does. If you have a timer that gets stuck executing code for a long time, the rest of the program will stop until the callback on that timer finishes execution. The same applies in the reverse as well, so if you have code that blocks the main thread for a long time, timers may execute late.

A common concurrent operation one might do is schedule a timer to run some code after some time has passed. We don't want to sleep the main thread and cause execution to halt while we wait, so setTimeout() can be used and will utilize the event loop.

The callback is the function that we pass into setTimeout(). In this example we told it to wait 10 seconds, and did something else in the REPL while we waited. After the 10 seconds passed, the callback was executed. Timers that are created with setTimeout() are executed during the timer phase of the event loop.

Conclusion

There's a lot more about Node.js that we'd like to discuss that can't fit in just one article, but hopefully these examples have given you a basic idea of what Node.js is. What really makes Node.js powerful is its community and diverse ecosystem of open source libraries and frameworks. We'll be covering more advanced topics in future articles, so stay tuned!

This Dot is a consultancy dedicated to guiding companies through their modernization and digital transformation journeys. Specializing in replatforming, modernizing, and launching new initiatives, we stand out by taking true ownership of your engineering projects.

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About the author(s)

Jamie Kuppens
I’m a software engineer with an interest in web development and some more esoteric things like emulator development.
@Reshurum @Reshurum

Exploring Angular Forms: A New Alternative with Signals

Exploring Angular Forms: A New Alternative with Signals In the world of Angular, forms are essential for user interaction, whether you're crafting a simple login page or a more complex user profile interface. Angular traditionally offers two primary approaches: template-driven forms and reactive forms. In my previous series on Angular Reactive Forms, I explored how to harness reactive forms' power to manage complex logic, create dynamic forms, and build custom form controls. A new tool for managing reactivity - signals - has been introduced in version 16 of Angular and has been the focus of Angular maintainers ever since, becoming stable with version 17. Signals allow you to handle state changes declaratively, offering an exciting alternative that combines the simplicity of template-driven forms with the robust reactivity of reactive forms. This article will examine how signals can add reactivity to both simple and complex forms in Angular. Recap: Angular Forms Approaches Before diving into the topic of enhancing template-driven forms with signals, let’s quickly recap Angular's traditional forms approaches: 1. Template-Driven Forms: Defined directly in the HTML template using directives like ngModel, these forms are easy to set up and are ideal for simple forms. However, they may not provide the fine-grained control required for more complex scenarios. Here's a minimal example of a template-driven form: ` ` 2. Reactive Forms: Managed programmatically in the component class using Angular's FormGroup, FormControl, and FormArray classes; reactive forms offer granular control over form state and validation. This approach is well-suited for complex forms, as my previous articles on Angular Reactive Forms discussed. And here's a minimal example of a reactive form: ` ` Introducing Signals as a New Way to Handle Form Reactivity With the release of Angular 16, signals have emerged as a new way to manage reactivity. Signals provide a declarative approach to state management, making your code more predictable and easier to understand. When applied to forms, signals can enhance the simplicity of template-driven forms while offering the reactivity and control typically associated with reactive forms. Let’s explore how signals can be used in both simple and complex form scenarios. Example 1: A Simple Template-Driven Form with Signals Consider a basic login form. Typically, this would be implemented using template-driven forms like this: ` ` This approach works well for simple forms, but by introducing signals, we can keep the simplicity while adding reactive capabilities: ` ` In this example, the form fields are defined as signals, allowing for reactive updates whenever the form state changes. The formValue signal provides a computed value that reflects the current state of the form. This approach offers a more declarative way to manage form state and reactivity, combining the simplicity of template-driven forms with the power of signals. You may be tempted to define the form directly as an object inside a signal. While such an approach may seem more concise, typing into the individual fields does not dispatch reactivity updates, which is usually a deal breaker. Here’s an example StackBlitz with a component suffering from such an issue: Therefore, if you'd like to react to changes in the form fields, it's better to define each field as a separate signal. By defining each form field as a separate signal, you ensure that changes to individual fields trigger reactivity updates correctly. Example 2: A Complex Form with Signals You may see little benefit in using signals for simple forms like the login form above, but they truly shine when handling more complex forms. Let's explore a more intricate scenario - a user profile form that includes fields like firstName, lastName, email, phoneNumbers, and address. The phoneNumbers field is dynamic, allowing users to add or remove phone numbers as needed. Here's how this form might be defined using signals: ` > Notice that the phoneNumbers field is defined as a signal of an array of signals. This structure allows us to track changes to individual phone numbers and update the form state reactively. The addPhoneNumber and removePhoneNumber methods update the phoneNumbers signal array, triggering reactivity updates in the form. ` > In the template, we use the phoneNumbers signal array to dynamically render the phone number input fields. The addPhoneNumber and removePhoneNumber methods allow users to reactively add or remove phone numbers, updating the form state. Notice the usage of the track function, which is necessary to ensure that the ngFor directive tracks changes to the phoneNumbers array correctly. Here's a StackBlitz demo of the complex form example for you to play around with: Validating Forms with Signals Validation is critical to any form, ensuring that user input meets the required criteria before submission. With signals, validation can be handled in a reactive and declarative manner. In the complex form example above, we've implemented a computed signal called formValid, which checks whether all fields meet specific validation criteria. The validation logic can easily be customized to accommodate different rules, such as checking for valid email formats or ensuring that all required fields are filled out. Using signals for validation allows you to create more maintainable and testable code, as the validation rules are clearly defined and react automatically to changes in form fields. It can even be abstracted into a separate utility to make it reusable across different forms. In the complex form example, the formValid signal ensures that all required fields are filled and validates the email and phone numbers format. This approach to validation is a bit simple and needs to be better connected to the actual form fields. While it will work for many use cases, in some cases, you might want to wait until explicit "signal forms" support is added to Angular. Tim Deschryver started implementing some abstractions around signal forms, including validation and wrote an article about it. Let's see if something like this will be added to Angular in the future. Why Use Signals in Angular Forms? The adoption of signals in Angular provides a powerful new way to manage form state and reactivity. Signals offer a flexible, declarative approach that can simplify complex form handling by combining the strengths of template-driven forms and reactive forms. Here are some key benefits of using signals in Angular forms: 1. Declarative State Management: Signals allow you to define form fields and computed values declaratively, making your code more predictable and easier to understand. 2. Reactivity: Signals provide reactive updates to form fields, ensuring that changes to the form state trigger reactivity updates automatically. 3. Granular Control: Signals allow you to define form fields at a granular level, enabling fine-grained control over form state and validation. 4. Dynamic Forms: Signals can be used to create dynamic forms with fields that can be added or removed dynamically, providing a flexible way to handle complex form scenarios. 5. Simplicity: Signals can offer a simpler, more concise way to manage form states than traditional reactive forms, making building and maintaining complex forms easier. Conclusion In my previous articles, we explored the powerful features of Angular reactive forms, from dynamic form construction to custom form controls. With the introduction of signals, Angular developers have a new tool that merges the simplicity of template-driven forms with the reactivity of reactive forms. While many use cases warrant Reactive Forms, signals provide a fresh, powerful alternative for managing form state in Angular applications requiring a more straightforward, declarative approach. As Angular continues to evolve, experimenting with these new features will help you build more maintainable, performant applications. Happy coding!...

Oct 4, 2024

5 mins

AngularJavaScript

Introduction to Zod for Data Validation

As web developers, we're often working with data from external sources like APIs we don't control or user inputs submitted to our backends. We can't always rely on this data to take the form we expect, and we can encounter unexpected errors when it deviates from expectations. But with the Zod library, we can define what our data ought to look like and parse the incoming data against those defined schemas. This lets us work with that data confidently, or to quickly throw an error when it isn't correct. Why use Zod? TypeScript is great for letting us define the shape of our data in our code. It helps us write more correct code the first time around by warning us if we are doing something we shouldn't. But TypeScript can't do everything for us. For example, we can define a variable as a string or a number, but we can't say "a string that starts with user_id_ and is 20 characters long" or "an integer between 1 and 5". There are limits to how much TypeScript can narrow down our data for us. Also, TypeScript is a tool for us developers. When we compile our code, our types are not available to the vanilla JavaScript. JavaScript can't validate that the data we actually use in our code matches what we thought we'd get when we wrote our TypeScript types unless you're willing to manually write code to perform those checks. This is where we can reach for a tool like Zod. With Zod, we can write data schemas. These schemas, in the simplest scenarios, look very much like TypeScript types. But we can do more with Zod than we can with TypeScript alone. Zod schemas let us create additional rules for data parsing and validation. A 20-character string that starts with user_id_? It's z.string().startsWith('user_id_').length(20). An integer between 1 and 5 inclusive? It's z.number().int().gte(1).lte(5). Zod's primitives give us many extra functions to be more specific about *exactly* what data we expect. Unlike TypeScript, Zod schemas aren't removed on compilation to JavaScript—we still have access to them! If our app receives some data, we can verify that it matches the expected shape by passing it to your Zod schema's parse function. You'll either get back your data in exactly the shape you defined in your schema, or Zod will give you an error to tell you what was wrong. Zod schemas aren't a replacement for TypeScript; rather, they are an excellent complement. Once we've defined our Zod schema, it's simple to derive a TypeScript type from it and to use that type as we normally would. But when we really need to be sure our data conforms to the schema, we can always parse the data with our schema for that extra confidence. Defining Data Schemas Zod schemas are the variables that define our expectations for the shape of our data, validate those expectations, and transform the data if necessary to match our desired shape. It's easy to start with simple schemas, and to add complexity as required. Zod provides different functions that represent data structures and related validation options, which can be combined to create larger schemas. In many cases, you'll probably be building a schema for a data object with properties of some primitive type. For example, here's a schema that would validate a JavaScript object representing an order for a pizza: ` Zod provides a number of primitives for defining schemas that line up with JavaScript primitives: string, number, bigint, boolean, date, symbol, undefined, and null. It also includes primitives void, any, unknown, and never for additional typing information. In addition to basic primitives, Zod can define object, array, and other native data structure schemas, as well as schemas for data structures not natively part of JavaScript like tuple and enum. The documentation contains considerable detail on the available data structures and how to use them. Parsing and Validating Data with Schemas With Zod schemas, you're not only telling your program what data should look like; you're also creating the tools to easily verify that the incoming data matches the schema definitions. This is where Zod really shines, as it greatly simplifies the process of validating data like user inputs or third party API responses. Let's say you're writing a website form to register new users. At a minimum, you'll need to make sure the new user's email address is a valid email address. For a password, we'll ask for something at least 8 characters long and including one letter, one number, and one special character. (Yes, this is not really the best way to write strong passwords; but for the sake of showing off how Zod works, we're going with it.) We'll also ask the user to confirm their password by typing it twice. First, let's create a Zod schema to model these inputs: ` So far, this schema is pretty basic. It's only making sure that whatever the user types as an email is an email, and it's checking that the password is at least 8 characters long. But it is *not* checking if password and confirmPassword match, nor checking for the complexity requirements. Let's enhance our schema to fix that! ` By adding refine with a custom validation function, we have been able to verify that the passwords match. If they don't, parsing will give us an error to let us know that the data was invalid. We can also chain refine functions to add checks for our password complexity rules: ` Here we've chained multiple refine functions. You could alternatively use superRefine, which gives you even more fine grained control. Now that we've built out our schema and added refinements for extra validation, we can parse some user inputs. Let's see two test cases: one that's bound to fail, and one that will succeed. ` There are two main ways we can use our schema to validate our data: parse and safeParse. The main difference is that parse will throw an error if validation fails, while safeParse will return an object with a success property of either true or false, and either a data property with your parsed data or an error property with the details of a ZodError explaining why the parsing failed. In the case of our example data, userInput2 will parse just fine and return the data for you to use. But userInput1 will create a ZodError listing all of the ways it has failed validation. ` ` We can use these error messages to communicate to the user how they need to fix their form inputs if validation fails. Each error in the list describes the validation failure and gives us a human readable message to go with it. You'll notice that the validation errors for checking for a valid email and for checking password length have a lot of details, but we've got three items at the end of the error list that don't really tell us anything useful: just a custom error of Invalid input. The first is from our refine checking if the passwords match, and the second two are from our refine functions checking for password complexity (numbers and special characters). Let's modify our refine functions so that these errors are useful! We'll add our own error parameters to customize the message we get back and the path to the data that failed validation. ` Now, our error messages from failures in refine are informative! You can figure out which form fields aren't validating from the path, and then display the messages next to form fields to let the user know how to remedy the error. ` By giving our refine checks a custom path and message, we can make better use of the returned errors. In this case, we can highlight specific problem form fields for the user and give them the message about what is wrong. Integrating with TypeScript Integrating Zod with TypeScript is very easy. Using z.infer<typeof YourSchema> will allow you to avoid writing extra TypeScript types that merely reflect the intent of your Zod schemas. You can create a type from any Zod schema like so: ` Using a TypeScript type derived from a Zod schema does *not* give you any extra level of data validation at the type level beyond what TypeScript is capable of. If you create a type from z.string.min(3).max(20), the TypeScript type will still just be string. And when compiled to JavaScript, even that will be gone! That's why you still need to use parse/safeParse on incoming data to validate it before proceeding as if it really does match your requirements. A common pattern with inferring types from Zod schemas is to use the same name for both. Because the schema is a variable, there's no name conflict if the type uses the same name. However, I find that this can lead to confusing situations when trying to import one or the other—my personal preference is to name the Zod schema with Schema at the end to make it clear which is which. Conclusion Zod is an excellent tool for easily and confidently asserting that the data you're working with is exactly the sort of data you were expecting. It gives us the ability to assert at runtime that we've got what we wanted, and allows us to then craft strategies to handle what happens if that data is wrong. Combined with the ability to infer TypeScript types from Zod schemas, it lets us write and run more reliable code with greater confidence....

Nov 15, 2024

7 mins

JavaScriptZod

CSS Hooks: A new way to style your React apps

In the world of web development, the management of styles has always been a crucial aspect of building modern and responsive user interfaces. With the rise of CSS in JS libraries like Material UI and Chakra, developers have started creating dynamic and reusable styles using JavaScript; however, the performance implications of these libraries have led to the exploration of alternative solutions. One such solution is CSS Hooks, a library that offers a different approach to managing styles in web applications. The Problem with CSS in React and CSS in JS Libraries In React applications, you typically write styles directly with the style prop by applying classes with className, or if you’re using a framework like Material UI or Chakra then you may use the sx attribute, which is more powerful than the baseline attributes. There are some performance concerns in the case of the sx attribute specifically. The framework has to dynamically generate classes with your styles and apply them to the document whenever it is used. This can become an issue with large and complex applications as your styles will be regularly regenerated on the fly as the user navigates through the application. This has led developers to seek alternative solutions that offer similar flexibility but with better performance. Introduction to CSS Hooks CSS Hooks improve upon the aforementioned issues by pre-generating your CSS using configuration hooks. The styles that these hooks generate remain static during the lifetime of the application and are reused wherever possible. CSS variables are utilized under the hood whenever dynamic behavior is needed. By dynamic behavior, I’m referring to advanced CSS features such as pseudo-class selectors and media queries, which are both traditionally unavailable for use with inline styles. CSS Hooks utilize an interesting trick under the hood to accomplish this, which we will now explore. The Power of CSS Variables and the Fallback Trick As mentioned before, CSS variables are utilized in order to support using advanced dynamic behavior such as pseudo-selectors in our inline styles. CSS variables are core to something known as the “fallback trick”. The gist of how the fallback trick works is to have the pseudo-selector or media query toggle the state of a variable between initial and an empty invalid value, and then we put the value that we actually want to toggle as the “fallback” value in the reference to the CSS variable inside of the inline style itself. Changing this fallback value inside of an inline style essentially allows us to control the values used by the pseudo-selector without having to regenerate linked stylesheets as we only have to change the inline style attribute. This is best explained with an example: ` This plain HTML and CSS code effectively allows us to utilize the focus pseudo-selector on any element that we want using inline styles only. This is what CSS Hooks effectively does in the background when you use dynamic styles. No nasty re-renders and mucking with stylesheets needed! How to use CSS Hooks Now that we know how CSS Hooks fundamentally work, let’s try using them. The library itself is much easier to use than the aforementioned example. Installation and usage of CSS Hooks is easy. Firstly, we must install the @css-hooks/react package into a React project with the package manager of your choice (npm, pnpm yarn, etc). Once that’s done, all that’s left is a little bit of configuration. You have to first use a utility function called createHooks that is exported from the package we just installed. The result of that function returns a couple of variables in an array that can be deconstructed, the first being a stylesheet in the form of a string, and the second being a function. ` I recommend putting this in a separate file that can be imported from multiple other places in the project as this is where we will be configuring hooks across the project. We’re exporting both hooks and css, and both are important. We need to include hooks into the DOM as it contains the styles of the hooks that we’ll be referencing in our components. In your root component you need to add the following tag so that the generated CSS can be used. ` How this is done may vary based on the libraries that you are using. After that’s done, you can integrate CSS Hooks into your components while writing inline styles mostly just like you would do normally, with the only change being the addition of an additional call to the css function that we exported earlier: ` Now that the core boilerplate is set up, your components can now utilize CSS Hooks in theory; however we need to actually add some hooks to start with before we can use them, or else we’ll just be limited to basic styles in the same way that React inline styles are. Make your own hooks We can define our hooks inside of the css-hooks file that we created earlier, the same one that exports the css helper function that gets CSS Hooks working with our components. Hooks are defined in the options parameters that are currently empty. Defining a simple hook that allows us to define inline hover styles for a component is very easy and can be done as follows: ` Although both the key and the value in this example are the same, they both serve different purposes. The key is the name of the hook that we reference when we want to use it, while the value is the spec. The spec is the actual CSS selector that we’re writing. The name can be anything that you want it to be so long as it doesn’t clash with any existing style properties or hooks. Recommended hooks Although making your own hooks may be necessary at times, there is another repository provided by the CSS Hooks authors that adds a way to generate many useful hooks called @css-hooks/recommended. I highly recommend using this library to generate your hooks if at all possible, and the usage is pretty simple. Here’s an example showing how you can use it to generate media queries, color scheme specific styles and pseudo-selectors: ` Then with that done, these can be utilized as follows: ` We can also modify the hooks configuration to add our own hooks in addition to the recommended hooks by using the spread operator: ` Then that custom hook can be used by simply using its key name: ` Summary CSS Hooks offers a performant alternative to traditional CSS in JS libraries by leveraging CSS variables and providing a unique approach to managing styles in web applications. By pre-generating the stylesheet based on configured hooks and utilizing CSS Variables for dynamic behavior, developers can create reusable styles without the performance overhead associated with dynamic stylesheet generation. If you're interested in exploring CSS Hooks further, be sure to check out @CSSHooks for more information. You can also find some of the examples demonstrated here in a working app in our demos repository. Thank you for reading!...

Feb 28, 2024

5 mins

CSSReact

How Nuxt Studio is Redefining Developer & User Experience with Baptiste Leproux & Ferdinand Coumau

In this episode of the Modern Web Podcast, Danny Thompson sits down with Ferdinand Como and Baptiste Leproux from Nuxt Labs to uncover the story behind Nuxt Studio, a tool that's transforming how developers and non-technical users interact with Nuxt applications. Ferdinand and Baptiste share how Nuxt Studio bridges the gap between developer customization and user-friendly content management. Built to empower agencies, freelancers, and their clients, Nuxt Studio combines powerful features like live previews, Vue component integration, and schema-driven forms to make managing content seamless. The conversation also explores the broader mission of Nuxt Labs—building sustainable open-source tools that enhance developer experience and meet real-world needs. With insights into the future of Nuxt Studio and its potential to scale for larger organizations, this episode is a must-listen for anyone passionate about innovation in web development. Chapters 1. Introduction and Setting the Stage (00:00:00) 2. The Vision Behind Nuxt Studio (00:03:10) 3. Nuxt Studio’s Core Features (00:08:45) 4. Challenges in Building Nuxt Studio (00:16:20) 5. Target Audience and Use Cases (00:22:35) 6. Sustainability in Open Source (00:29:00) 7. The Future of Nuxt Studio (00:35:10) 8. Nuxt Studio’s Role in the Nuxt Ecosystem (00:42:30) 9. Closing Thoughts and What’s Next (00:48:00) 10. Sponsor Shoutout and Wrap-Up (00:53:20) Follow Baptiste Leproux and Ferdinand Coumau Baptiste Twitter: https://x.com/_larbish Ferdinand Twitter: https://x.com/CoumauFerdinand Baptiste Linkedin: https://www.linkedin.com/in/baptiste-leproux-618842b0/ Ferdinand Linkedin: https://www.linkedin.com/in/ferdinand-coumau-nuxt/ Sponsored by This Dot: thisdot.co...

Nov 20, 2024

2 mins

VueNuxtJS

Let's innovate together!

We're ready to be your trusted technical partners in your digital innovation journey.

Whether it's modernization or custom software solutions, our team of experts can guide you through best practices and how to build scalable, performant software that lasts.

An Introduction to Node.js

An Introduction to Node.js

What is Node.js?

Installation

The Node.js REPL

Trying it out!

Executing Node.js Files

Node Standard Library

Concurrency and the Event Loop

Conclusion

Jamie Kuppens

You might also like

Exploring Angular Forms: A New Alternative with Signals

Introduction to Zod for Data Validation

CSS Hooks: A new way to style your React apps

How Nuxt Studio is Redefining Developer & User Experience with Baptiste Leproux & Ferdinand Coumau

Let's innovate together!

You might also like

Exploring Angular Forms: A New Alternative with Signals

Introduction to Zod for Data Validation

CSS Hooks: A new way to style your React apps

How Nuxt Studio is Redefining Developer & User Experience with Baptiste Leproux & Ferdinand Coumau