Utilizando JavaScript y Node.Js Construí una librería instalable por medio de npm en la que puedes encontrar el numero de Links que contiene un archivo .md, en la ejecución de esta podrás ver estadísticas como: total de links, links únicos y links rotos dentro de tur archivos .md, ingresando la ruta de un directorio u archivo.

Fetch data online using Typescript and TailwindCSS

Retrieve the weather for your current location or any other location by simply entering the city name. For instance, you can type "Ahmedabad" to get the weather details.

Countries App

Youtube Tutorial: https://youtu.be/70rDn356TWU

setDoc is a small and simple utility for querying your database with Mongoose.

Discover React Place Picker With Database! This repository hosts a React application that connects to a centralized backend, enabling users to access and manage shared data effortlessly. Explore the code for seamless data handling and robust error management. Don't forget to star if you find it useful! 🌟

A simple responsive table that fetches data from a json file.

Frontend of an CRUD app that consists of backend Api (Spring boot) and frontend part React. In this app i demonstrated working with db tables and Many-To-Many relationship, and also CRUD operations.

creating a covid19 tracker app in reactjs

Fetching the data from a robohash API with the help of Fetch( ) and show in the form of Cards. Search your robos and having an inside slider.

Efficient crawling & data extraction from web pages using concurrency in multiple programming languages.

Learning React Router

Responsive-time-tracking-dashboard with CSS and fetched data from JSON - Frontend Mentor challenge

The HTML Fetcher Script is a Python script that allows users to fetch and optionally save the HTML content from a specified URL using 'requests' library. This script provides user-friendly prompts for input validation, including URL format, redirect options, and timeout settings.

classroom_check_flutter

This project presents a straightforward and simple approach to collecting, processing and storing data from YouTube channels using the YouTube Data API and storing it in an SQL database, all implemented in a Jupyter Notebook