🚀 LeetCode Daily Challenge — 3726. Remove Zeros in Decimal Representation (Easy) Ever thought how a simple number like 1020030 can turn into 123? 🤔 That’s the power of string manipulation in programming — short, clean, and efficient! 💡 🧩 Problem Summary: You’re given a positive integer n. Your task: Remove all zeros from its decimal representation. Example: Input: n = 1020030  Output: 123 ✅ Hint: Convert the number to a string → remove all '0' → convert back to integer. That’s it — one-liner solution for clean data transformation. 🔥 💻 I’ve explained this problem with step-by-step approaches and code on my website 👉 algopush.com Check it out for brute force to optimized explanations! #LeetCode #LeetCodeChallenge #Coding #ProblemSolving #DSA #Programming #100DaysOfCode #CodeSeCareer #TechLearning #Developers #algopush #LeetCodeDaily #StringManipulation #LearnToCode #erdelhiboy #leetcodeeasy

On Day 302 of the coding journey, I'm sharing my solution to LeetCode Problem 528, "Random Pick with Weight." This problem requires designing a data structure for weighted random selection. My video provides a clear walkthrough of the optimal strategy: using a Prefix Sums array to map weights to cumulative ranges, then performing a fast Binary Search to find the corresponding index. This is a valuable skill for system design and advanced data structure implementation. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #BinarySearch #PrefixSums

On Day 299 of my #300daysofcode challenge, I'm sharing my solution to LeetCode Problem 275, "H-Index II." The key to solving this problem efficiently is recognizing that the sorted input array creates a monotonic property that enables Binary Search. My video provides a clear walkthrough of the $O(\log N)$ search logic, a highly valued skill for technical interviews focused on algorithmic optimization. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #BinarySearch #300daysofcode

🚀 Day 17 of #100DaysofCode Challenge! 🚀 🔍 What is Dynamic Programming (DP), and why does it matter? I recently watched Aditya Verma’s introductory video on DP and here are the highlights: • DP is an optimization over naïve recursion — it’s about identifying when you’re solving the same sub-problem repeatedly, and instead reuse those results (overlapping sub-problems + optimal substructure). • The typical workflow: start with a recursive solution, notice repeated work → switch to memoization (top-down) → then possibly convert to tabulation (bottom-up). • The key mindset shift: Think in terms of subproblem states and transitions/choices — that’s what lets you build from smaller results to the full solution. • Use DP when brute force recursion is too slow and when the problem naturally splits into smaller pieces whose optimal solutions combine. • Base cases, initialization, and correct ordering (especially in bottom-up) are crucial — you can’t just “DP-ify” any recursion without thinking about these. #Day17 #DynamicProgramming #Algorithms #ProblemSolving #CodingMindset #SoftwareEngineering #AdityaVerma #CodingJourney

On Day 294 of my #300daysofcode challenge, I'm sharing my solution to LeetCode Problem 1146, "Snapshot Array." This problem requires designing a specialized array that efficiently handles updates and historical queries. My video provides a clear walkthrough of the optimal design: using a list of versioned entries per index and then applying Binary Search to query the correct historical state. This is a valuable skill for system design and advanced data structure implementation. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #SystemDesign #300daysofcode

On Day 293 of my #300daysofcode challenge, I'm sharing my solution to LeetCode Problem 436, "Find Right Interval." This problem requires optimizing a search over intervals, which we solve efficiently by combining sorting by start time with Binary Search. My video provides a clear walkthrough of this $O(N \log N)$ approach, a valuable skill for technical interviews and mastering interval manipulation. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #BinarySearch #300daysofcode

On Day 298 of my #300daysofcode challenge, I'm sharing my solution to LeetCode Problem 74, "Search a 2D Matrix." This problem is a classic demonstration of adapting the Binary Search algorithm to a 2D structure. My video provides a clear walkthrough of the key optimization: mapping $(row, col)$ indices to a single linear index to perform a fast, $O(\log(M \cdot N))$ search. This is a valuable skill for technical interviews and efficient matrix manipulation. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #BinarySearch #300daysofcode

🔥 Day 21 | LeetCode Challenge – Unique Paths (Problem #62) Today’s challenge focused on finding the number of unique ways a robot can move from the top-left corner to the bottom-right corner of an m x n grid — with the restriction that it can only move right or down at any step. 💡 Concept Overview: The task is a classic Dynamic Programming problem that leverages the principle of counting paths using cumulative sub-solutions. Each cell’s path count is derived from the sum of paths from the top and left cells — as those are the only directions available to reach it. 📘 Approach Used: Used a 1D DP array to optimize space. Initialized the first row with one path since there’s only one way to move horizontally. Iteratively updated the DP array to accumulate paths from top and left cells. The final value in the array represents all unique paths to the target. ⚙️ Algorithm Used: Dynamic Programming (Space Optimized) 🧾 Language: Java ⚡ Runtime: 0 ms (Beats 100%) 💾 Memory: 41.86 MB 🧠 Key Insight: Efficient path-counting problems often reveal that simple cumulative logic and state reuse can drastically minimize memory usage while maintaining optimal performance. #Day21 #LeetCode #UniquePaths #DynamicProgramming #JavaCoding #ProblemSolving #100DaysOfCode #DataStructuresAndAlgorithms #CodingChallenge #TechLearning #ProgrammingJourney #CodeOptimization

💻 Day 34 of #100DaysOfLeetCode Today’s Challenge: 83. Remove Duplicates from Sorted List 🔹 Problem: Given the head of a sorted linked list, delete all duplicates such that each element appears only once. Return the linked list sorted as well. Key Insight: Because the list is already sorted, duplicates will always be adjacent—this allows us to remove them in a single pass using pointer manipulation. 🔍 Approach: Traverse the list using a pointer. Compare current node with the next node. If values are equal → skip the next node by linking to the next of next. Otherwise → move forward. 🕒 Time Complexity: O(n) 📦 Space Complexity: O(1) ✨ Key Takeaway: This problem reinforces the importance of pointer manipulation and understanding how memory references work in linked lists. A simple check can eliminate duplicates efficiently without using extra space. Link:[https://lnkd.in/gsjVxHXM] #100DaysOfLeetCode #Day34 #LeetCode #ProblemSolving #DSA #Algorithms #LinkedList #CodingChallenge #CodeNewbie #InterviewPreparation #SoftwareEngineering #Programming #CodingCommunity #TechCareers #CareerGrowth #ArjunInfoSolution

On Day 297 of my #300daysofcode challenge, I'm sharing my solution to LeetCode Problem 33, "Search in Rotated Sorted Array." This problem is a classic test of a developer's ability to adapt the Binary Search algorithm. My video provides a clear walkthrough of the necessary logic to handle the rotation point, which is a valuable skill for technical interviews and a great way to demonstrate proficiency in core algorithms. #DataStructures #Algorithms #LeetCode #CodingInterview #Programming #BinarySearch #300daysofcode