LeetCode Challenge Day 61: Single Number III with Hash Map

✅ Day 63 of 100 Days LeetCode Challenge Problem: 🔹 #1758 – Minimum Changes To Make Alternating Binary String 🔗 https://lnkd.in/gSY9BDhw Learning Journey: 🔹 Today’s problem focused on converting a binary string into an alternating pattern with minimum changes. 🔹 There are only two valid alternating patterns: starting with '0' (0101...) or starting with '1' (1010...). 🔹 I counted mismatches for both patterns while iterating through the string. 🔹 The answer is the minimum number of flips required between the two possibilities. Concepts Used: 🔹 String Traversal 🔹 Pattern Matching 🔹 Greedy Counting 🔹 Parity Indexing Key Insight: 🔹 When only two structural patterns are possible, evaluate both and choose the minimum cost. 🔹 Index parity (i % 2) is a clean way to enforce alternating constraints. 🔹 Comparing against expected patterns avoids unnecessary string reconstruction. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity

🚀 #Day41 of #100DaysOfCode 📌 Problem: 80. Remove Duplicates from Sorted Array II Today’s challenge was about handling duplicates in a sorted array while keeping the array in-place. 💡 Key Idea: The array is already sorted, so duplicates appear next to each other. We need to ensure that each number appears at most twice. Extra duplicates beyond two should be removed while maintaining the original order. 🧠 Approach: 1️⃣ Traverse the array from left to right. 2️⃣ Keep track of how many times the current number appears consecutively. 3️⃣ Allow insertion only if the occurrence count is ≤ 2. 4️⃣ Maintain an index pointer to place valid elements in the correct position. ⚡ Complexity: Time Complexity: O(n) Space Complexity: O(1) (in-place modification) #leetcode #Python #programming #coding #softwaredevelopment #100daysofcode

🚀 Day 45 of #100DaysOfCode 📌 Problem: Rotate Array (LeetCode 189) 🔹 Problem Statement: Given an integer array nums, rotate the array to the right by k steps, where k is non-negative. 🔹 Approach: Instead of rotating the array one step at a time, we use the Reverse Technique. Steps: 1️⃣ First calculate k % n to handle large rotations. 2️⃣ Reverse the first part of the array (0 → n-k-1). 3️⃣ Reverse the second part (n-k → n-1). 4️⃣ Finally reverse the entire array. This gives the rotated array efficiently. 🔹 Time Complexity: ⏱️ O(n) 🔹 Space Complexity: 📦 O(1) (In-place rotation) 💡 Key Learning: Using array reversal is a very efficient way to rotate arrays without extra space. #DSA #LeetCode #Python #CodingChallenge #Programming

🚀 30 𝐃𝐚𝐲𝐬 𝐨𝐟 𝐏𝐲𝐭𝐡𝐨𝐧 — 𝐃𝐚𝐲 #13 | 𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 & 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐍𝐞𝐬𝐭𝐞𝐝 𝐋𝐨𝐨𝐩𝐬 Day 13 was focused on learning intermediate and advanced concepts of nested loops. Today, I explored how loops can be placed inside other loops to create more structured and complex program flows. Understanding this concept helped me see how programs handle multi-level iterations. 📌 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐨𝐯𝐞𝐫𝐞𝐝: 🔹 Intermediate nested loop structures 🔹 Advanced nested loop logic 🔹 How loops interact with each other inside different levels 🔹 Using nested loops to generate different patterns 💡 𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲: - Nested loops are powerful when it comes to handling multi-level iteration and pattern-based logic. - Understanding how each loop controls rows and columns is key to mastering patterns. A 𝐡𝐮𝐠𝐞 𝐬𝐡𝐨𝐮𝐭𝐨𝐮𝐭 𝐭𝐨 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞 & 𝐃𝐞𝐛𝐮𝐠 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 for explaining these concepts so clearly and making even complex topics easy to understand. The structured explanations really make learning smoother. 𝐃𝐚𝐲 13 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 ✅ Each concept is helping me think more logically about programming. 💻✨ #Python #30DayChallenge #Day13 #NestedLoops #PatternProgramming #PythonLearning #CodingJourney #LearnToCode #Programming #TechGrowth

🚀 𝐃𝐚𝐲 8/60 – 60-𝐃𝐚𝐲 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 Today's topic is "𝐁𝐨𝐨𝐥𝐞𝐚𝐧 𝐯𝐚𝐥𝐮𝐞𝐬" Boolean values represent the two fundamental truth constants in logic: 𝒕𝒓𝒖𝒆 and 𝒇𝒂𝒍𝒔𝒆. In programming and digital systems, they drive decision-making, control flow, and conditional evaluation by resolving expressions to either 𝐓 or 𝐅. Proper use of booleans enhances readability, enables efficient branching, and underpins logical operators such as AND, OR, and NOT. When modeling real-world problems, clear boolean expressions help ensure correct outcomes and easier maintenance 𝐄𝐱𝐚𝐦𝐩𝐥𝐞 𝘷𝘢𝘳 = 0 # 𝘈𝘴𝘴𝘪𝘨𝘯𝘪𝘯𝘨 0 𝘵𝘰 𝘷𝘢𝘳 𝘱𝘳𝘪𝘯𝘵(𝘷𝘢𝘳 == 0) 𝘷𝘢𝘳 = 1 # 𝘈𝘴𝘴𝘪𝘨𝘯𝘪𝘯𝘨 1 𝘵𝘰 𝘷𝘢𝘳 𝘱𝘳𝘪𝘯𝘵(𝘷𝘢𝘳 == 0) Understanding these operators made me realize how programs make decisions and perform actions based on logic. They may look like simple symbols, but they are essential for writing meaningful code. Step by step, building stronger logic. #learning #python #consistency #challenge #60days #coding #programming

✅ Day 68 of 100 Days LeetCode Challenge Problem: 🔹 #1207 – Unique Number of Occurrences 🔗 https://lnkd.in/g2vjwwft Learning Journey: 🔹 Today’s problem required checking whether the frequency of each element in an array is unique. 🔹 I first used Counter to count how many times each number appears in the array. 🔹 Then I extracted the occurrence counts using .values(). 🔹 To verify uniqueness, I compared the length of the occurrences list with the length of a set created from those values. 🔹 If both lengths match, it means all occurrence counts are unique. Concepts Used: 🔹 Hash Map / Frequency Counting 🔹 Python Counter from collections 🔹 Sets for Uniqueness Check Key Insight: 🔹 Converting values to a set removes duplicates automatically. 🔹 If the size of the set equals the number of frequency values, then all occurrence counts are distinct. Complexity: 🔹 Time: O(n) 🔹 Space: O(n) #LeetCode #Algorithms #DataStructures #CodingInterview #100DaysOfCode #SoftwareEngineering #Python #ProblemSolving #LearningInPublic #TechCareers

Day 79 of #100DaysOfCode: Recursive Optimizations! , Recursion can be creatively adapted for different mathematical operations beyond traditional factorial calculations. Key insight: • Square root factorial multiplies √n recursively instead of n, producing smaller growth rates • Same recursive structure but different operation yields unique mathematical sequences GitHub: https://lnkd.in/gjdb5mkT #Python #Coding #100DaysOfCode #Programming #LearnToCode #Recursion

🚀 𝐃𝐚𝐲 12/60 – 60-𝐃𝐚𝐲 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 🦾 Today's topic is "𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬" 𝐃𝐞𝐟𝐢𝐧𝐢𝐭𝐢𝐨𝐧 & 𝐢𝐧𝐯𝐨𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 Functions encapsulate 𝒓𝒆𝒖𝒔𝒂𝒃𝒍𝒆 𝒍𝒐𝒈𝒊𝒄 with a def keyword, allowing you to define a block of code that can be called (invoked) by name. A function may accept parameters, perform operations, and return a result with return. Defining a function promotes 𝒓𝒆𝒂𝒅𝒂𝒃𝒊𝒍𝒊𝒕𝒚, 𝒕𝒆𝒔𝒕𝒂𝒃𝒊𝒍𝒊𝒕𝒚, 𝒂𝒏𝒅 𝒎𝒐𝒅𝒖𝒍𝒂𝒓 𝒅𝒆𝒔𝒊𝒈𝒏, while invoking it (e.g., result = add(2, 3)) drives code reuse and abstraction. 𝐄𝐱𝐚𝐦𝐩𝐥𝐞: 𝘥𝘦𝘧 𝘢𝘥𝘥(𝘢, 𝘣):   𝘳𝘦𝘵𝘶𝘳𝘯 𝘢 + 𝘣 𝘱𝘳𝘪𝘯𝘵(𝘢𝘥𝘥(2, 3))   # Output: 5 Understanding these operators made me realize how programs make decisions and perform actions based on logic. They may look like simple symbols, but they are essential for writing meaningful code. Step by step, building stronger logic. #learning #python #consistency #challenge #60days #coding #programming #functions #definitions #invocations

Mastering Sorting Algorithms: A Comprehensive Comparison Guide Sorting is a fundamental operation in computer science, crucial for efficient data processing. This tutorial dives deep into common sorting algorithms, comparing their performance, stability, and use cases through detailed explanations and practical Python code examples. Learn to choose the right algorithm for your specific needs by understanding their strengths and weaknesses. Read the full article 👇 https://lnkd.in/gV3JcuNM #Technology,#Programming,#DataScience,#SoftwareEngineering,#ComputerScience,#SortingAlgorithms,#AlgorithmAnalysis,#PythonCoding,#DataStructures,#AlgorithmPerformance,#FutureOfWork,#DigitalTransformation

"Day 46 of learning Data Structures." ✓ Circular Linked List:- A linked list where the last node points back to the head, forming a circle. ✓ No "end" node, traversal can loop indefinitely. #CircularLinkedList #DataStructure #DataScience #SelfLearning #Programming #Coding #Python #Tech