📕 Rethinking async loops in JavaScript 👉🏻 Using `await` within JavaScript loops, specifically `for` loops and `map()` functions, when dealing with asynchronous operations, has some pitfalls. https://lnkd.in/e6TfryrQ
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What is currying in JavaScript? Rewrite the function using currying and execute the code. function add(a, b, c) { return a + b + c; } console.log(add(1, 2, 3)); output?
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Just explored the Temporal API in JavaScript - a cleaner, more reliable way to handle dates and times. Read more: https://lnkd.in/g8SaFxcz
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TransformStreams in JavaScript provide a built-in way to transform data efficiently. A TransformStream has both a writable and a readable side. Anything written to the writable side is emitted from the readable side, making it function like an Obserbavle. This structure makes it ideal for creating lightweight systems such as a simple pub/sub setup, where data can be published through the writable end and subscribed to through the readable end. I built a small library that demonstrates this concept, and it’s available here: https://lnkd.in/d5td6M6c
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📘 Chapter 22: Strings – Measuring Length and Extracting Parts in JavaScript In this chapter, we explore how to analyze and extract parts of strings using JavaScript’s built-in methods. Strings are everywhere — from usernames and emails to APIs — so understanding how to measure and slice them is a must for every developer. ✨ Key Concepts Covered: ✅ .length – Find the total number of characters in a string ✅ .slice(start, end) – Extract a specific part of a string ✅ .substring(start, end) – Similar to slice but handles negative values differently ✅ .substr(start, length) – Extracts a portion using start position and length
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JavaScript Objects: The Ultimate Guide You'll Actually Use Stop copy-pasting object code you don't understand. Let's build a deep, practical understanding of JavaScript objects together. Read the full article https://lnkd.in/g4d7MukM
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JavaScript Objects: The Ultimate Guide You'll Actually Use Stop copy-pasting object code you don't understand. Let's build a deep, practical understanding of JavaScript objects together. Read the full article https://lnkd.in/g4d7MukM
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🎯 Master JavaScript in Minutes: Understanding filter() The filter() method is one of the most powerful tools in JavaScript for handling arrays — it lets you create a new array with only the elements that pass your condition! 💡 Whether you're cleaning data, filtering results, or making your code more readable — filter() is a must-know for every JS developer. 👉 Watch this quick video to learn how it works in real-world examples! Follow for more: https://lnkd.in/dY2xBRPg #KeepLearning #JavaScriptTips #CodingMadeSimple
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TYPE COERCION: This is when JavaScript converts one type of value to another. This is usually triggered by Arithmetic, Logical and Loose Equality operators, and could result in a gigantic bug in your codebase. Let a = 12 Let b ='6' Let c = a / b c = 2. You need to Explicitly state your return data type or convert your data type using JavaScript's built in functions or constructors. Another Solution? Use TypeScript.
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#100DaysLearningChallenge with Saurabh Shukla Sir. 🎯 Day 18: Priority Queue in JavaScript — Managing Tasks with Precision ⚙️⏱️ Previously, I explored the Min Heap — understanding how data can be structured efficiently. Today, I build upon that foundation to implement the Priority Queue — a powerful data structure that ensures elements are processed based on their priority, not just their order of arrival. 🧠 What’s a Priority Queue? A specialized queue where each element is associated with a priority. The element with the highest priority is served before others — making it indispensable in systems where order and importance both matter. 🛠️ Built our own Priority Queue from scratch: ✅ Insert elements with dynamic priorities ✅ Efficiently retrieve and remove the highest (or lowest) priority element ✅ Leveraged Heap logic for optimal performance ✅ Clean, modular JavaScript implementation ready to extend and reuse 📂 Real-world use cases: ➡️ Task scheduling and load balancing ➡️ Pathfinding algorithms (like Dijkstra’s and A*) ➡️ Operating system process management ➡️ Network packet routing and more 👨💻 Building the structure yourself is the best way to understand how priorities truly drive performance. 📒 A sample implementation is shared below — explore it, modify it, and make it your own! 📹 Video reference (MySirG): https://lnkd.in/gcB5pPzY 💻 Source Code (GitHub): https://lnkd.in/g-_DKtA9 🚀 From mastering heaps to managing priorities — every day, one level up. #100DaysLearningChallenge #Day18 #PriorityQueue #JavaScript #DataStructures #CleanCode #LearningInPublic #DevJourney #AlgoDaily #CodeSmart
Priority Queue in JavaScript Explained Like a Pro!" | Complete Implementation & Logic 🚀
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