Using Recoiljs to handle data fetching
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Updated
Jan 5, 2023 - TypeScript
Using Recoiljs to handle data fetching
Fetch the Realtime Data From Tradingview for any Segment
A news app is an interview test that demonstrates how to fetch data from an API and display it. I was asked to do this for an interview round.
In this article, we will be discussing how we can implement GraphQL in Java and integrate it with a real-time Spring boot project from scratch. The project will be a maven based project having spring data integrated to communicate with MySQL database.
Learning all the advanced topics of Next.js 13 including routing, SSR, Data Fetching, Server-components, etc.
A Modern URL Shortener
__this project is the live example of data fetching on server side as well as client side rendering.
Fetches episode links from animepahe
GetX is a reactive and minimalist Flutter library for managing state, navigation, and dependencies. It provides a simple and efficient way to manage your application's state and make your code more organized and readable.
Stale-while-revalidate data fetching library for Svelte.
Weather App using OpenWeatherApi includes concept such as async/await , api calls , Networking ,Json Parsing etc.
Created using React, MUI, rick and morty api
The "usepopcorn" project is a React application aimed at movie enthusiasts, providing a platform to explore and track movies. Developed as part of a comprehensive React course, this project showcases fundamental React concepts and best practices.
Backend Technical Assessment - ttl cache class method
This is a simple Notes App built using Next.js 13 and TypeScript for the frontend, and Pocketbase for the backend.
Covered up the fundamentals of Next.js such as SSR & SSG, routing, data fetching, apis and more!
A Job finding app using the puppeteer library
The Food Order App is a React application that allows users to conveniently order food online. Users can select their desired items from the available menu, add them to their cart, and proceed to confirm the order.
💎 Web Scrapping in python using `requests` and `bs4`.
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