Working with tables in React ? Then you’ve got to check out React Data Table Component (RDT) one of the most powerful and easy-to-use libraries out there! ⚛️ It comes packed with built-in features like : ✨ Pagination ✨ Sorting ✨ Loading indicators ✨ Selectable Rows ✨ Expandable Rows But keep in mind these features work best for client-side data . If your data comes from an API or you’re dealing with large datasets, you’ll need to implement server-side pagination manually. Still, RDT makes building clean, responsive, and data-rich UIs a breeze! 🚀 For more details checkout their official docs : https://lnkd.in/d2pvECmu #React #JavaScript #FrontendEngineer #ReactDataTable #SoftwareDevelopment #KeepExploring
How to use React Data Table Component for client-side data
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🔁 State Lifting in React | The Smart Way to Share Data Between Components. Ever had two React components that needed to share the same data, but didn’t know how? 🤔 That’s where the concept of State Lifting comes in, one of React’s most elegant patterns. 🧩 What Is State Lifting? When two or more components need access to the same data, you lift that state up to their closest common parent. The parent manages the data, and the children receive it through props. This keeps data centralized and consistent. 🧠 Let’s See an Example. Now look the example code below, let’s say we have two child components one to input data, and one to display it. Without lifting state, they can’t “talk” to each other directly. 🧭 Here, both child components share the same state managed by their parent. 🚀That’s state lifting in action. 🧠 Best Practice Lift state only when needed, not every piece of state should live in the parent. If many components need the same state → consider React Context. Keep the flow of data unidirectional (top → down). 💬 Final Thought: State lifting teaches one of React’s golden rules. 👉 Share state by moving it up, not across. #ReactJS #MERNStack #FrontendDevelopment #WebDevelopment #ReactPatterns #ReactHooks #JavaScript #CleanCode #LearnReact #SoftwareEngineering
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Most developers use localStorage and sessionStorage without really knowing the difference. I was the same — until one bug forced me to actually read the docs. Here’s the difference 👇 🧠 localStorage - Data persists even after the browser is closed. - Great for saving user preferences, themes, or tokens that don’t expire. ⚙️ sessionStorage - Data clears once the tab or window is closed. - Perfect for temporary data like form states or one-session inputs. Both store data as key-value pairs in the browser — but persistence changes everything. I learned one rule from that bug: → “Use sessionStorage when you want memory. → Use localStorage when you want permanence.” Small detail. Big difference. #javascript #webdevelopment #frontend #softwareengineering #learnbybuilding #reactjs
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🚀 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗲𝗽 𝗗𝗶𝘃𝗲: 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝗲𝘁𝗰𝗵 𝗔𝗣𝗜 💡 Say goodbye to old-school XMLHttpRequest! The Fetch API is the modern, promise-based way to make HTTP requests in JavaScript — simple, powerful, and elegant. ⚡ 🔹 𝗕𝗮𝘀𝗶𝗰 𝗙𝗲𝘁𝗰𝗵 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: fetch('https://lnkd.in/gWKpgMrT') .then(response => response.json()) .then(data => console.log(data)) .catch(error => console.error('Error:', error)); ✅ fetch() returns a Promise ✅ response.json() converts response to JSON ✅ .catch() ensures error handling 🔹 𝗖𝗹𝗲𝗮𝗻𝗲𝗿 𝗦𝘆𝗻𝘁𝗮𝘅 𝘄𝗶𝘁𝗵 𝗔𝘀𝘆𝗻𝗰/𝗔𝘄𝗮𝗶𝘁: async function getData() { try { const response = await fetch('https://lnkd.in/gWKpgMrT'); const data = await response.json(); console.log(data); } catch (error) { console.error('Error:', error); } } getData(); ✨ No more nested .then() chains — just clean, readable async code! 💡 𝗣𝗿𝗼 𝗧𝗶𝗽𝘀: 🔸 Always handle network errors 🔸 Add headers for authentication & content-type 🔸 Supports GET, POST, PUT, DELETE and more Credit 💳 🫡 Sameer Basha Shaik 🚀 The Fetch API is a must-know tool for every frontend developer — perfect for fetching data, integrating APIs, and building modern web applications! 🌐 #JavaScript #FetchAPI #WebDevelopment #AsyncAwait #Frontend #CodingTips #CleanCode #DeveloperCommunity #Promises #LearnToCode #jsdeveloper
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Context API vs. Redux: Stop the Confusion. Here’s the 2-minute rule that can help. Choosing between React's built-in Context API and the popular Redux library is a common dilemma. The key is to think about scale and frequency. ⤷Use Context API for: -Simple, infrequent updates, like a dark mode toggle or a logged-in user's name. -Avoiding "prop drilling" on a small-to-medium scale. -When you prefer a lightweight, built-in React solution with less setup. ⤷Use Redux for: -Large, complex applications with state that changes frequently. -Centralizing a single "source of truth," like a shopping cart or dashboard data. -Debugging complex state issues with powerful DevTools, which Context lacks. -Predictable state updates with a structured flow of actions and reducers. ⤷Username & Notification Example: →You have two states: -Username: Rarely changes -Notifications: Changes frequently →With Context: If you put both in one context, every time notifications update, all components showing the username re-render too. This is inefficient. To fix it, you must split your contexts, adding complexity. →With Redux: Redux lets components subscribe only to the state they need. The component showing notifications subscribes to notifications. Lot of components showing the username do not re-render when a notification arrives. ⤷The takeaway: -Context is perfect for static or low-frequency global data. -Redux shines when your state is dynamic, shared, and heavily updated. ⤷Your take: -Have you ever migrated from Context to Redux? -What was your sign that it was "time for a cannon"? Share your experience in the comments! #React #JavaScript #WebDevelopment #Redux #ContextAPI #StateManagement
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Async Redux confused me more than the code itself. Every diagram showed a simple loop. None explained where the API actually happens. This one finally made it click. 📌 The real async Redux flow in 7 steps: 1️⃣ View: User triggers an action (FETCH_USER_REQUEST) 2️⃣ Middleware: Thunk/Saga intercepts it 3️⃣ API Call: Side effect happens here 4️⃣ Action #2: Middleware dispatches FETCH_USER_SUCCESS with payload 5️⃣ Reducer: Pure function. Updates state only on success action 6️⃣ State: Central store gets fresh data 7️⃣ View Update: React re-renders UI 🔁 That’s the loop: View → Action → Middleware → API → Action → Reducer → State → View This diagram is one of the clearest visual explanations of async data flow in Redux that I’ve seen. If you’re learning Redux, save this. 👇 I’m curious: Which async approach do you use in React today? Saga? Thunk? RTK Query? Something else? #Reactjs #Redux #JavaScript #WebDevelopment #Frontend #StateManagement #ReduxToolkit #AsyncProgramming #ReactDevelopers #SoftwareEngineering #LearningInPublic #WebDevCommunity
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🌀 The useState Hook in React: The useState Hook in React ⚛️ allows you to add local state management to functional components. It enables components to hold and modify data dynamically, which triggers re-rendering when the state changes 🔄. How useState Works: 1. You call useState with an initial value for the state 🎯. 2. It returns an array with two elements: ➡️ The current state value 📝 ➡️ A function to update that state 🔧 3. This array is commonly destructured into named variables, like [state, setState] ✂️. Syntax: const [state, setState] = useState(initialState); Key Points: ➡️ The initial state can be any data type: number, string, object, array, etc.🔢🅰️📦 ➡️ State updates are asynchronous ⚡, so React batches them for Performance 🚀. ➡️ Multiple useState calls can manage different pieces of state independently 🧩. ➡️ The function returned by useState (setState) replaces the previous state with a new value 🔄. ➡️ When updating objects or arrays, always create a new copy to maintain immutability ✨ 💡 Overall: useState is fundamental for creating interactive and stateful React components, making them dynamic and responsive to user actions 👆 or data changes 📊. #React #JavaScript #FrontendDevelopment #WebDevelopment #ReactJS #LearnReact #ReactDeveloper #JSDeveloper #DeveloperCommunity
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💡 structuredClone() vs JSON.parse(JSON.stringify()) Both are used for deep copying objects in JavaScript, but they’re not the same. 🧠 structuredClone() Creates a true deep copy (recursively copies nested data). Supports complex types: Date, Map, Set, Blob, etc. Handles circular references safely. Faster and more reliable. const clone = structuredClone(obj); ⚠️ JSON.parse(JSON.stringify()) Works only for simple JSON-safe data. Loses functions, Dates, Maps, Sets, and Symbols. Crashes on circular references. ✅ Use structuredClone() whenever available (modern browsers & Node 17+). Use the JSON trick only for plain, simple data. #JavaScript #WebDevelopment #Frontend #DeepCopy #CodingTips
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Ever struggled with unexpected req.body values or mismatched types in your Node.js API? Parsing requests isn’t just calling JSON.parse() - it’s handling raw bytes, headers, content-types and boundaries correctly. This guide from Webdock breaks it down: • How Node.js handles different body formats (application/json, x-www-form-urlencoded, multipart/form-data) • What happens under the hood when the data arrives, how streams, buffers and encoding play a role • Practical code examples showing correct parsing and common pitfalls 📘 Read it here: https://lnkd.in/eQQ9msym #Webdock #NodeJS #JavaScript #API #Sysadmins #CloudHosting #NoFluff
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⚛️ That moment when I finally got my API call to work… and data appeared on the screen! 😍 When I first started learning React, I thought fetching data was simple — just call the API and show the data. But then… the re-renders, async calls, and errors started showing up like plot twists 😅 That’s when I learned the right way 👇 ✅ Using useEffect() for API calls: import React, { useEffect, useState } from "react"; function UserList() { const [users, setUsers] = useState([]); useEffect(() => { fetch("https://lnkd.in/gTcasaiP") .then(res => res.json()) .then(data => setUsers(data)) .catch(err => console.error(err)); }, []); return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } 💡 Lesson learned: Always use useEffect() for API calls to avoid infinite loops. Handle loading and errors gracefully. Keep your data state clean and predictable. Once I understood this pattern, fetching data in React felt like second nature. ⚡ #ReactJS #WebDevelopment #FrontendDeveloper #MERNStack #JavaScript #API #useEffect #ReactHooks #LearningByDoing #CodingJourney
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🚀 Output Challenge #8 The Suspense Illusion Most developers know Suspense loads “smoothly.” But do you know what actually happens during concurrent rendering? 🤔 const fetchData = () => new Promise((resolve) => setTimeout(() => resolve("Data loaded!"), 1000)); const resource = { read() { const promise = fetchData(); throw promise; // suspense boundary catches this }, }; function DataComponent() { const data = resource.read(); return <p>{data}</p>; } export default function App() { return ( <React.Suspense fallback={<p>Loading...</p>}> <DataComponent /> </React.Suspense> ); } 🧩 Question: What’s rendered immediately on the screen? When does the DataComponent render? And what happens if fetchData rejects instead of resolving? 💬 Drop your answers + reasoning in the comments 👇(Hint: This is the foundation of React’s concurrent rendering model) #React #Nextjs #Suspense #Frontend #JavaScript #TypeScript #Performance #CleanCode #DeveloperCommunity #InterviewPreparation #WebDevelopment
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