Minimum Cost Tree From Leaf Values Interval DP

🔥 Day 19 | Round 4 — Revisiting DP Basics! 🔥 Solved a LeetCode problem — Climbing Stairs 💡 This is a classic Dynamic Programming problem that introduces the idea of breaking a problem into overlapping subproblems. By using recursion with memoization, the solution efficiently avoids repeated calculations and builds up the final answer 💪 Simple problems like this strengthen the foundation of DP thinking 🚀 🔹 Concepts Used: Dynamic Programming | Memoization | Recursion 🔹 Key Takeaway: Many DP problems follow simple recurrence relations once the base cases are clear 🧠 #30DaysOfCode #Round4 #Day19 #LeetCode #DynamicProgramming #ClimbingStairs #DSA #ProblemSolving #CodingChallenge #DeveloperJourney #CodeEveryday #CPlusPlus #LearnByDoing #ConsistencyIsKey 🚀

🔥 Day 17 | Round 4 — Mastering String DP! 🔥 Solved a LeetCode problem — Edit Distance 💡 This classic string-based Dynamic Programming problem focuses on converting one string into another using the minimum number of operations. 🧩 Approaches Explored: Recursive DP (Brute Force Idea) DP with Memoization Bottom-Up Tabulation Space Optimized DP (1D Arrays) By understanding insert, delete, and replace operations clearly, optimizing the solution became much more intuitive 💪 Problems like these greatly strengthen core DP concepts 🚀 🔹 Concepts Used: Dynamic Programming | String DP | Space Optimization 🔹 Key Takeaway: Clear transitions between states make even complex string problems manageable 🧠 #30DaysOfCode #Round4 #Day17 #LeetCode #DynamicProgramming #EditDistance #StringDP #DSA #ProblemSolving #CodingChallenge #DeveloperJourney #CodeEveryday #CPlusPlus #LearnByDoing #ConsistencyIsKey 🚀

One of the best habits I’m currently building is writing pseudocode before writing real code. It forces me to slow down, think clearly, and design the logic first instead of jumping straight into syntax and getting stuck. If you’re new to programming, pseudocode is one of the simplest tools to reduce overwhelm and build real problem-solving skills. Clear thinking first. Clean code later. #OctoPrep #PythonDeveloper #DataScience #DataAnalysis

🚀 Day 13 | Functions – Code Reusability in C Language Today I learned how functions enable code reusability, one of the most important concepts in programming. 🔹 Write code once, use it multiple times 🔹 Avoids repetition and reduces errors 🔹 Makes programs clean, modular, and readable 🔹 Easy to debug, test, and maintain 💡 Functions turn long programs into simple, manageable blocks. 📌 Reusable code = Smart programming. #30DaysOfC #CProgramming #Functions #CodeReusability #ProgrammingBasics #CLanguage #CodingJourney #Day13

Learning from Day 1 to 11: [Evolution of HLL] [Platform Independent] Object Orientation] [Main Method] [Pattern Programming] [Pattern Programming] [Data Types] [Char Data Type] [Type Casting] [Code Snippets & Increment and Decrement Operators] TAP Academy #TapAcademy #JavaFullStackDevelopment

Programming Is Logic, Not Just Syntax By Anuj Prajapati Why decision-making matters more than memorizing rules. Quick question before we start. When your code breaks, what do you usually think first? Is it: “Ugh, I forgot the syntax again?” “Wait… what am I actually trying to make this code do?” Your answer matters more than you think. Most beginners ... https://lnkd.in/eC2Kk37U

𝐃𝐚𝐲 𝟏𝟗/𝟏𝟎𝟎 𝐨𝐟 𝐃𝐒𝐀 ✨ #100daysofCode Day 19 was all about seeing patterns clearly before coding. I worked on two different problems, but both taught the same lesson: logic > lines of code. 🔹 Problem 1: Pascal’s Triangle What I learned: Every row starts and ends with 1 Middle elements are formed by adding the two elements just above Pattern clarity makes implementation straightforward Key insight: Once the pattern is understood, the code almost writes itself. 🔹 Problem 2: Line Visibility (Who can see whom) What I learned: A person can see only shorter people Visibility stops at the first person of equal or greater height Stack logic should be used to find blockers, not blindly count Key insight: This problem taught me the importance of thinking in terms of constraints, not just data structures. 🔹 Common takeaway from both problems Don’t jump into coding Understand rules, blockers, and boundaries One clear insight can fix multiple wrong approaches Onwards to Day 20 🚀 #100DaysOfCode #Day19 #DSA #PascalTriangle #Stack #ProblemSolving #LearningByDoing #Consistency

🚀 Day 8 | Loops & Conditional Statements in C Today I learned how decision-making and repetition work together in C programming. 🔹 if-else – used for decision making based on conditions 🔹 for loop – when iterations are known 🔹 while loop – condition checked before execution 🔹 do-while loop – executes at least once 🔹 Helps in logic building and program flow control 🔹 Reduces code repetition and improves efficiency 💡 Programs become powerful when they can decide and repeat. 📌 Logic + Control = Smart Code. #30DaysOfC #CProgramming #IfElse #Loops #DecisionMaking #CLanguage #CodingJourney #Day8

🗓 Day 87 / 100 – #100DaysOfLeetCode 📌 Problem 44: Wildcard Matching Today’s problem was a classic dynamic programming challenge involving string pattern matching. The task was to determine whether a string matches a pattern containing: ? → matches any single character * → matches any sequence of characters (including empty) 🧠 My Approach: Used Dynamic Programming where: dp[i][j] represents whether the first i characters of the string match the first j characters of the pattern Handled base cases carefully: Empty string vs pattern Patterns starting with * Transition rules: If characters match or pattern has ? → inherit diagonal state If pattern has * → either: match zero characters or match one/more characters Final answer comes from dp[n][m]. This approach ensures all wildcard possibilities are handled correctly. 💡 Key Learning: This problem reinforced: ✔ thinking in terms of states and transitions ✔ handling multiple matching paths with DP ✔ importance of correct base-case initialization Wildcard matching problems are great practice for mastering string DP patterns. Day 87 done — almost at the finish line 🚀 #100DaysOfLeetCode #LeetCodeChallenge #ProblemSolving #DynamicProgramming #StringMatching #DP #Algorithms #DSA #CompetitiveProgramming #CodingJourney #DeveloperJourney #LearningInPublic #TechStudent #CareerGrowth #Programming #KeepLearning