I just published a new blog post: "Understanding Variables and Data Types in JavaScript" ✍️ Every great application starts with the fundamentals. In this guide, I deep dive into: How variables act as containers for data. The differences between var, let, and const. Primitive data types and the concept of scope. A huge thank you to Hitesh Choudhary sir and the Chai Aur Code team for helping me build such a strong foundation in JS. Read the full article here: 🔗 https://lnkd.in/eEYXSV8a Piyush Garg | Akash Kadlag | Anirudh J. | Jay Kadlag | #JavaScript #WebDevelopment #ChaiAurCode #LearningJourney #Coding #Hashnode
Understanding JavaScript Variables and Data Types
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🚀 Excited to share that I’ve written a blog on JavaScript! Today, I explored OOPs, DataTypes, operators, and if-else statements concepts in JavaScript. If you want to strengthen your fundamentals check it out here: OOPs :- https://lnkd.in/gwkTvchA Data Types :- https://lnkd.in/gkC76nFw Operator :- https://lnkd.in/gfExWjd9 Condition :- https://lnkd.in/gKbFycsG Blogs Links :~ https://lnkd.in/gPDPz2NC Would love to hear your thoughts and feedback! 💻✨ #JavaScript #WebDevelopment #Programming #OOP #Coding #Hashnode Chai Aur Code Hitesh Choudhary Akash Kadlag Jay Kadlag
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Solved the Flatten a Multilevel Doubly Linked List problem using a Depth-First Search (DFS) approach in JavaScript. Key idea: Traverse the list and whenever a node contains a child pointer, recursively flatten the child list and splice it into the main list while maintaining proper prev and next connections. This problem is a great exercise in pointer manipulation and recursion. It reinforces how important it is to carefully update references when working with linked data structures. Time complexity: O(n) Space complexity: O(d) where d is the recursion depth. #DataStructures #Algorithms #LinkedList #JavaScript #DSA #CodingPractice #LeetCode #ProblemSolving #SoftwareEngineering
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🚦 𝐋𝐞𝐭’𝐬 𝐚𝐝𝐝 𝐬𝐨𝐦𝐞 𝐥𝐨𝐠𝐢𝐜 𝐭𝐨 𝐭𝐡𝐚𝐭 𝐜𝐨𝐝𝐞! I’m excited to share the 3rd blog of my "JavaScript Essentials 101" series. After covering variables, data types and operators, it's time to learn how to guide your code through different paths. This time, we are diving deep into 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐅𝐥𝐨𝐰: 𝐈𝐟, 𝐄𝐥𝐬𝐞, 𝐚𝐧𝐝 𝐒𝐰𝐢𝐭𝐜𝐡. In my blog post, I breakdown exactly how JavaScript processes logic, using beginner-friendly examples that actually make sense. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐜𝐨𝐯𝐞𝐫: ✅ 𝐓𝐡𝐞 "𝐓𝐫𝐚𝐟𝐟𝐢𝐜 𝐑𝐮𝐥𝐞𝐬" 𝐨𝐟 𝐂𝐨𝐝𝐞: A simplified definition of what control flow actually means. ✅ 𝐈𝐟, 𝐄𝐥𝐬𝐞, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐋𝐚𝐝𝐝𝐞𝐫: Master foundational decision-making (using conditions like checking voting age or grading marks). ✅ 𝐓𝐡𝐞 𝐒𝐰𝐢𝐭𝐜𝐡 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭: How to use multi-way branching for cleaner, more readable alternatives to long else if chains. ✅ 𝐓𝐡𝐞 𝐁𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐏𝐨𝐢𝐧𝐭: Why the break keyword is crucial inside switch. ✅ 𝐓𝐡𝐞 𝐆𝐨𝐥𝐝𝐞𝐧 𝐑𝐮𝐥𝐞: A practical breakdown of exactly when to use switch vs. if-else. Mastering these conditional structures is what transforms a simple "coder" into an "application builder." Stop letting your code run sequentially and start making it intelligent! 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥, 𝐝𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐠𝐮𝐢𝐝𝐞 𝐡𝐞𝐫𝐞: https://lnkd.in/ghpw9iPc Mentions: Hitesh Choudhary Piyush Garg Chai Aur Code Akash Kadlag Jay Kadlag Suraj Kumar Jha Nikhil Rathore #JavaScript #CodingTips #WebDevelopment #LearnToCode #Programming #CodeLogic #Hashnode #ChaiAurCode #ChaiCode
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📌 #69 DailyLeetCodeDose Today's problem: 25. Reverse Nodes in k-Group – 👹 Hard Interesting fact about me – linked lists were my favorite topic in the Algorithms and Data Structures course at university. So for the 69th problem I got something special – a hard linked list problem 😈 Honestly, the problem description is written in probably the most confusing way possible. But the core idea is actually pretty simple: you just need to reverse nodes in groups of size k inside the list. In practice, this is only slightly more complicated than reversing the entire linked list – the main difference is that when you reverse a group, you must keep track of the new head of that reversed group so you can correctly reconnect it with the previous and next parts of the list. It may look scary at first glance, but in reality it's not that bad. The most important thing is not to get lost in pointer manipulation 🦍 https://lnkd.in/daAPrhbP #DailyLeetCodeDose #LeetCode #JavaScript #Algorithms #ProblemSolving #Coding
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Day-04 5 Verbs That Make Your Backend Work! Every time your frontend talks to the backend, it uses these 5 powerful HTTP methods 👇 🔹 GET → Retrieve data(like reading posts from a database) 🔹 POST→ Create new data(add a new user or post) 🔹 PUT→ Completely update existing data 🔹 PATCH→ Partially update data(just one field) 🔹 DELETE → Remove data permanently Ankur Prajapati Sheryians Coding School Community #21DayChallenge #WebDevelopment #JavaScript #Backend #APIIntegration #CodingJourney
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🚀 Just wrapped up an action-packed T-Class session today with Suraj Kumar Jha sir! We went deep into core JavaScript OOP concepts that every developer should master: • Understanding `__proto__` and the prototype chain • How prototype works • Constructor functions – the foundation of object creation • Revisiting classes and the `new` keyword • The `super` keyword for clean inheritance • `static` keyword • Getters and setters for better data control • The 4 Pillars of Object-Oriented Programming (Abstraction, Encapsulation, Inheritance, Polymorphism) Grateful for another solid session with the Chai Aur Code cohort 🔥 . Hitesh Choudhary Piyush Garg Akash Kadlag Anirudh J. Jay Kadlag Nikhil Rathore #JavaScript #OOP #WebDevelopment #Frontend #LearningInPublic #chaicode #cohort
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Just solved the Binary Search problem in JavaScript. Binary Search is a great example of the Divide and Conquer approach. Instead of checking every element, the algorithm looks at the middle of a sorted array and eliminates half of the search space each step. Because the array is divided in half every time, the time complexity becomes O(log n), which makes it much faster than linear search O(n) for large datasets. Small problem, but a great reminder of how powerful algorithmic thinking can be. #JavaScript #Algorithms #BinarySearch #CodingPractice #LeetCode #SoftwareEngineering
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Remember this from math class? 𝘅 = 𝟱. 𝗙𝗶𝗻𝗱 𝘆. The moment we see this, we instantly assume: “𝘅 𝗵𝗼𝗹𝗱𝘀 𝘁𝗵𝗲 𝘃𝗮𝗹𝘂𝗲 𝟱.” Back then, variables mostly held numbers. Now here’s the interesting part… JavaScript didn’t stop at numbers. It introduced something called Data Types. Let’s simplify JavaScript Data Types ↓ Small differences. Big impact. 🚀 And this is just the beginning… Wait until you see what happens with "𝟱" + 𝟮 👀 Grateful to be learning and growing every day at Sheryians Coding School under the guidance of Harsh Vandana Sharma, Sarthak Sharma, and Ankur Prajapati. #JavaScript #WebDevelopment #Frontend #LearningJourney #LearnByAction #JS
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Day 64/365 Solved 697. Degree of an Array (Easy) on LeetCode. Problem: Find the smallest subarray that has the same degree (maximum frequency of an element) as the entire array. Approach: • Used Hash Maps to track frequency, first index, and last index of each number • Calculated the array’s degree while iterating • For numbers with that degree, computed the shortest subarray length Key Learning: Tracking first and last occurrences with a hash map is a powerful pattern when solving frequency and subarray problems. 64 days of consistency. Small progress every day adds up #365DaysOfCode #Day64 #LeetCode #HashTable #JavaScript #DSA #ProblemSolving
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Solved another classic Linked List problem today: Swap Nodes in Pairs on LeetCode. Approach: Used a recursive strategy to swap nodes in pairs. Base condition: if the list has 0 or 1 node, return it as is. For each pair: Store the second node. Recursively process the remaining list. Reverse the current pair by updating pointers. Key pointer operations: temp = head.next head.next = swapPairs(head.next.next) temp.next = head Result: Runtime: 0 ms (Beats 100%) Memory: 52.66 MB (Beats 97.59%) Problems like this reinforce how powerful recursion and pointer manipulation are when working with linked lists. #DSA #LinkedList #LeetCode #JavaScript #ProblemSolving #DataStructures #Algorithms #CodingPractice #SoftwareEngineering #BackendDevelopment
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