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Deno

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May 1, 2024 3 minute read

Deno is a relatively new runtime environment for JavaScript and TypeScript that is quickly gaining popularity among developers. Deno was created by the same team that developed Node.js, and it shares many similarities with Node.js. However, Deno also has some unique features that make it a more modern and secure choice for building server-side applications.

Why Learn Deno

There are many reasons why you might want to learn about Deno. Deno is:

Path to Deno

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We've curated four courses to help you on your path to Deno. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Deno 1: Getting Started

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Modules in JavaScript

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Master Deno, React, Mongo, NGINX running with Docker-Compose

Master Deno, React, Mongo, NGINX running with Docker...

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NodeJS - The Complete Guide (MVC, REST APIs, GraphQL, Deno)

NodeJS - The Complete Guide (MVC, REST APIs, GraphQL,...

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Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Deno.

AngularJS

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A curated selection of practical recipes that showcase techniques, approaches, and use cases for TypeScript and Rust lovers.

World Regional Geography (without Subregions)

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A concise and accessible introduction to Deno, packed with valuable insights, especially for beginners.

World Regional Geography Without Subregions: Global...

Paperback

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World Regional Geography without Subregions: Global...

Paperback

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Loose-Leaf Version for World Regional Geography...

Loose Leaf

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World Regional Geography (without Subregions):...

Paperback

$$$

Loose-leaf Version for World Regional Geography...

Paperback

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World Regional Geography Without Subregions

Kindle Edition

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Deep Learning Quick Reference

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A guide to using Deno for machine learning, covering topics such as building machine learning models, training models, and deploying models to production.

Deep Learning Quick Reference: Useful hacks for...

Kindle Edition

Relevant careers

Back-End Developer

Full-Stack Developer

DevOps Engineer

Cloud Architect

Software Engineer

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