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Exploring Julia Programming Language: Application Programming Interface (API) — Part 2
Latest   Machine Learning

Exploring Julia Programming Language: Application Programming Interface (API) — Part 2

Last Updated on January 10, 2024 by Editorial Team

Author(s): Jose D. Hernandez-Betancur

Originally published on Towards AI.

Creating RESTful APIs and services with Julia
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U+1F44B Welcome back to our series on leveraging Julia for end-to-end machine learning and data science projects. In this post, we’ll explore using Julia to develop the server-side of an application that communicates with a JavaScript-based frontend via HTTP U+1F517. Here, we will explore how to handle cross-origin resource sharing (CORS) in Julia to enable communication between both sides of our application while maintaining its security U+1F512U+1F511U+1F465.

If you are new to this series, I encourage you to catch up with the previous posts ⬇️:

Jose D. Hernandez-Betancur

View list13 storiesGenie: Genie is a web framework that simplifies MVC, routing, ORM, middleware, WebSockets, and authentication for robust and scalable apps.http-server: http-server is an npm package that allows you to start an HTTP server quickly for serving static files. You can install it globally using npm and use it in your terminal as follows:npm install -g http-server

This is a simple project that shows how Julia can be used with RESTful principles to make client-server relationships more separate and allow them to grow on their own. The project structure is depicted below ⬇️:

.├── public│ ├── data_handler.js│ ├── index.html│ └── styles.css└── src └── app.jl

public: This directory contains files that are intended… Read the full blog for free on Medium.

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