30 Days JavaScript Challenge : Day 17 ✅ Today’s problem was about designing a Time Limited Cache. The idea was to store key-value pairs, but with a twist each key should expire after a certain time. The class needed to support: • setting values with an expiry • retrieving values only if they’re still valid • counting how many keys are currently active This felt closer to a real-world problem, especially how caching systems work with expiration. It was interesting to think about how to manage time, state, and updates together in a clean way. 17 days in learning not just syntax, but how to think through problems. 💻🚀 #javascript #leetcode #webdevelopment #frontenddeveloper #codingchallenge #learninginpublic #developers #programming #buildinpublic
Time Limited Cache Challenge in JavaScript
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30 Days JavaScript Challenge : Day 20 ✅ Today’s problem was about checking whether a given object or array is empty. At first glance, it looks very simply, but it makes you think about how data structures actually store values whether it’s checking keys in an object or elements in an array. Also tried to think about how this can be done efficiently, even aiming for O(1) time complexity. Problems like these remind me that even basic concepts can have deeper layers when you try to implement them properly. 20 days in consistency is building up, one problem at a time. 💻🚀 #javascript #leetcode #webdevelopment #frontenddeveloper #codingchallenge #learninginpublic #developers #programming #buildinpublic
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30 Days JavaScript Challenge: Day 25 ✅ Today’s problem was about merging two arrays of objects based on a common key (id). Sounds simple at first, but it had a few interesting parts: Handling unique ids Merging objects when ids match Making sure values from the second array override the first Keeping everything sorted It’s actually very close to real-world scenarios like combining data from two APIs or updating existing records with new data. Problems like this make you think more about data handling and structure, not just loops and conditions. Day by day, things are starting to connect better. 🚀 #javascript #leetcode #webdevelopment #frontenddeveloper #codingchallenge #learninginpublic #developers #programming #buildinpublic #JavaScriptMastery
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30 Days JavaScript Challenge: Day 18 ✅ Today’s problem was about implementing a debounce function. The idea is simple but very useful delay the execution of a function, and if it gets called again within that delay, cancel the previous call and restart the timer. This concept is widely used in real-world scenarios like: • search input optimization • reducing unnecessary API calls • handling rapid user events It was a great exercise to understand how timers and function control work together in JavaScript. 18 days in getting more comfortable with concepts that are actually used in real applications. 💻🚀 #javascript #leetcode #webdevelopment #frontenddeveloper #codingchallenge #learninginpublic #developers #programming #buildinpublic
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I just published my first blog on Dev.to! I wrote about the current value of JavaScript in 2026 and why it’s still one of the most important skills for developers. I’m still early in my learning journey, so I’d really appreciate any feedback or suggestions 🙌 Here’s the blog: https://lnkd.in/gqQkh-3a #JavaScript #WebDevelopment #LearningInPublic #Programming
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30 Days JavaScript Challenge : Day 26 ✅ Today’s problem was about flattening a multi-dimensional array, but with a twist we were given a depth n and had to flatten only up to that level. Not a full flatten, not a shallow one… somewhere in between. It really makes you think about recursion and depth control: When to go deeper When to stop How to keep track of current depth What I liked is how this problem builds intuition around nested data structures something you see a lot in real apps (APIs, configs, UI trees, etc.). Slowly getting more comfortable with recursion and thinking in layers. #javascript #leetcode #webdevelopment #frontenddeveloper #codingchallenge #learninginpublic #developers #programming #buildinpublic
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30 Days JavaScript Challenge : Day 24 ✅ Today’s problem was about sorting an array using a custom function. Instead of directly sorting values, we use a function fn to decide the order — basically telling JavaScript how to compare elements. At first it feels simple, but it actually shows how powerful sorting can be when you control the logic: Sorting objects based on a property Sorting nested arrays Custom ranking based on conditions It’s one of those concepts that looks basic but is used everywhere in real projects. Slowly getting more clarity on how to write flexible and reusable logic in JavaScript. #javascript #leetcode #webdevelopment #frontenddeveloper #codingchallenge #learninginpublic #developers #programming #buildinpublic
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𝐃𝐚𝐲 𝟔/𝟏𝟓 𝐨𝐟 𝐦𝐲 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 🚀 6 days of consistency. Not perfect… But definitely better than Day 1. 💡 What I learned: Functions in JavaScript How to create and use functions Parameters and return values 🧠 What I understood: Instead of writing the same code again and again… We can use functions to reuse it. For example: If I want to add two numbers multiple times, I don’t need to write the logic again and again. I can just create a function and use it whenever needed. At first, I was confused about how parameters work… But after trying small examples, it became clearer. 📌 My biggest takeaway: Functions make code cleaner, shorter, and easier to manage. Still learning… Still improving… See you on Day 7 🚀 #JavaScript #CodingJourney #LearningInPublic #Day6 #Consistency #WebDevelopment #Programming #Developers
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🚀 Today I Practiced JavaScript: Quick Sort Algorithm: Sorting is one of the most fundamental concepts in programming, and Quick Sort is a powerful algorithm every developer should know. 💡 Core Concept: Quick Sort follows a divide and conquer approach: 1. Divide the array into smaller parts based on a pivot 2.Conquer by recursively sorting the smaller parts 3.Combine the results to get the final sorted array 🎯 Key Insight: In my JavaScript implementation: 1.I used push() to partition elements into smaller and larger groups 2.I used the spread operator (...) to combine the results efficiently 3.This approach keeps the logic simple while clearly demonstrating how the algorithm works internally. ⚡ Time Complexity: 1. Average: O(n log n) 2. Worst: O(n²) Quick Sort is widely used because of its efficiency and elegant approach to problem-solving. #JavaScript #DSA #Algorithms #Coding #Programming #WebDevelopment #Quick Sort 😊
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this in JavaScript looks simple… until it starts pointing to the wrong thing 😵 Same function, different outputs — just because of how it’s called. So what does this actually mean? 👉 It’s not about where the function is written 👉 It’s about who is calling the function In this blog, I’ve explained: What this really represents this in global context this inside objects and functions How calling context changes everything Kept it simple with clear examples (no unnecessary theory) ✨ 🔗 Read here: https://lnkd.in/dMkPffeA Would appreciate your feedback 🙌 #javascript #webdevelopment #programming #coding
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Sharing beginner-friendly notes on Object-Oriented Programming (OOP) in JavaScript 🧠 Covered core concepts like Classes, Constructors, Inheritance, Encapsulation, Polymorphism, Getters/Setters, Static methods, and Private fields (#) with clear examples. Also explained how super, instanceof, and prototypes work behind the scenes. A practical guide to understanding how OOP works in modern JavaScript. Feedback and suggestions are welcome! #JavaScript #OOP #Coding #Learning #Programming
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