Learning Hash Tables in JavaScript for Fast Data Retrieval

New Video in our DSA in JavaScript Series! In this video, we start a brand-new chapter — Queue 🧠 — one of the most important data structures in DSA! You’ll learn step-by-step what a Queue is, how it follows the FIFO (First In, First Out) principle, and where it’s used in real-world applications and DSA problems. We’ll go through: - What is a Queue and how it works - Understanding the FIFO concept with real-life examples - Queue operations — Enqueue, Dequeue, Peek, isEmpty, isFull - Where Queues are used in DSA (BFS, Scheduling, Buffers, etc.) By the end of this video, you’ll clearly understand: How Queue differs from Stack (FIFO vs LIFO) Why Queues are essential in problem solving Real-life use cases like Printer Queue, Task Scheduling, etc. Foundation for upcoming topics like Circular Queue, Priority Queue, and Deque This is a concept + theory video, so make sure to watch till the end before we move to implementation in the next one! * Watch here → https://lnkd.in/gyWSuZ4V * Watch the complete DSA in JavaScript playlist here: https://lnkd.in/g2qrGaSH * Download the PPT for this topic here: https://lnkd.in/gnga7zf6

💻✨ Practicing JavaScript Arrays! Today, I explored one of the most important topics in JavaScript — Arrays. From creating arrays to applying methods like push(), pop(), shift(), unshift(), map(), and filter(), I learned how powerful arrays can be in managing and manipulating data efficiently. 🧠 Key Concepts I practiced: Creating and accessing array elements Iterating through arrays using loops Using built-in methods for transformation Understanding how arrays make data handling easier in JavaScript Every small step in coding adds up to big progress! 🚀 #JavaScript #WebDevelopment #CodingJourney #LearningByDoing #FrontendDevelopment #JSArrays #WomenInTech #PracticeAndProgress

Day 27 of #100DaysOfCode – Understanding JavaScript Data Types Today’s session focused on one of the most important JavaScript fundamentals data types and how they define the nature of values we work with in code. Key Learnings: Explored different data types: float, number, char, string, boolean, null, NaN, undefined, infinity, array, object, and symbols. Understood the difference between primitive and reference (non-primitive) data types. Learned which data types fall under each category and how they behave in memory. Also went through the concept of comments and their role in writing cleaner, readable code. Takeaway: Knowing how data types work is crucial — it helps prevent bugs, optimize memory usage, and write predictable, efficient JavaScript code. Appreciation to Harsh Vandana Sharma from Sheryians Coding School and Sheryians Coding School Community for delivering today’s topic with such clarity and depth. #100DaysOfCode #JavaScript #WebDevelopment #CodingJourney #Frontend #Learning

🎓 New on DeveloperMaroof. JavaScript Lesson 03: Primitive Data Types & typeof Assalam o Alaikum, In this lesson, I explain all 7 JavaScript primitive types (String, Number, Boolean, Undefined, Null, Symbol, BigInt) and show how to check them using the typeof operator. Short, practical examples to help beginners understand types and avoid common pitfalls. Watch Lesson 03: [ https://lnkd.in/dpCUCEM8 ] Would love your feedback.    #JavaScript #WebDevelopment #LearnToCode #DeveloperMaroof #Frontend #primitivedatatypes #datatypes

🎯 Started learning Fetch API in JavaScript! Yesterday was our intro class, where we learned how to get data from an API using the fetch() method and display it on a webpage. I built a small example that shows product data from the DummyJSON API — it was so cool to see live data appear on the screen using just HTML, CSS, and JS! 😄 🔗 [https://lnkd.in/gQeRNGXk] #JavaScript #WebDevelopment #LearningJourney #FrontendDevelopment #FetchAPI #JSBasics #CodingInPublic#Manoj Kumar Reddy Parlapalli#10000 Coders

💻✨ 21 Days JavaScript Basics Challenge — Day 6 🚀 🫖 Learning from: Chai aur Code by Hitesh Choudhary 📘 Today’s Focus: 🔹 Functions in JavaScript 🔹 The this Keyword 🔹 Control Flow & Loops 🧩 What I learned today: ⭐ How to create and call functions in JavaScript ➡️ Function Declaration, Expression, and Arrow Functions ⭐ The role of the this keyword — how its value changes based on context ⭐ Control flow statements like ➡️ if, else if, else, switch ⭐ Looping structures: ➡️ for, while, do...while, and for...of 💡 Key Takeaways: ➡️ Functions make code reusable and modular 🔁 ➡️ this behaves differently in regular vs arrow functions ⚙️ ➡️ Loops and conditionals control the logic flow of every program 🎯 💾 Saved today’s code as 07_functions_controlflow_loops.js on GitHub 📂 #JavaScript #ChaiAurCode #CodingJourney #21DaysChallenge #LearningInPublic #WebDevelopment #CodeNewbie #JSBasics #Loops #Functions

🚀 Day 7 of My 30 Days of JavaScript Journey ✅ Challenge: Array Reduce Transformation (LeetCode #2626) Write a function reduce(nums, fn, init) that processes each element of the array using the given reducer function fn, starting from an initial value init. This function should accumulate results sequentially and return the final value — implemented without using the built-in Array.reduce() method. 💻 Language Used: JavaScript ❓ Problem Link: https://lnkd.in/gxsp26cz 💡 Solution: https://lnkd.in/giZj_hYw 🧠 Concept Highlighted: This problem deepened my understanding of accumulator functions, data aggregation, and sequential computation in JavaScript. It helped me explore how the powerful reduce() method works behind the scenes — a key tool for transforming and summarizing data efficiently. #Day7 #JavaScript #LeetCode #30DaysOfCode #CodingChallenge #WebDevelopment #FrontendDevelopment #LearningEveryday #ProblemSolving #FunctionalProgramming

Really great talk from Kenny Daniel making the case for cloud-native data formats. Great lessons learned for anyone working to make data fun to work with in the browser.

"Burn the Backend" - love it :D Kenny gave a great talk CascadiaJS with about removing all the heavy backend from data loading pipelines in the browser and shifting the focus on local-first apps! I have become a strong advocate of lean, browser-based tools for quite some years now (also with respect to privacy) and fully agree with him. Extra kudos for no deps, just plain JS and some wasm hacking. If I look back at the tools I created over the years following this spirit of static frontend and cloud-native file formats like parquet, flatgeobuf, pmtiles, cog, zarr etc. I could come up with a huge list: - Semantic search in the browser https://lnkd.in/dtWJhF79 (300+ stars now 🎉) - Multi Table Converter: Excel, Markdown, HTML, CSV, JSON for AI tools https://lnkd.in/djnVuxeF - https://lnkd.in/diC32VE2 ... And Kenny Daniel, as you were asking, did you already hear about flatgeobuf (https://flatgeobuf.org/)? Looks like we could use your black JS magic here to for geospatial! I created a simple viewer for it a while ago (https://lnkd.in/dNiR9S5w) and even hacked together a vector DB disguised in a flatgeobuf file ;D (https://lnkd.in/dTFaEHzS)

#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