Remove Trailing Zeros From String with Efficient Python Code

🚀 LeetCode Progress Update Just solved LeetCode 2828 – Check if a String Is an Acronym of Words ✅ 💡 Key Idea: Compared the first character of each word with the corresponding character in the given string — simple logic, but a great reminder that clarity beats complexity! 🧠 What I learned: Importance of index-based comparison Writing clean and readable conditions Thinking in terms of patterns, not just code ⚡ Result: Accepted with 1 ms runtime 💻 Consistency is the goal — one problem at a time! 🔥 #LeetCode #100DaysOfCode #Python #CodingJourney #ProblemSolving #Consistency #DataStructures

🚀 Day 62 of #100DaysOfCode Solved “Remove Nth Node From End of List” 🔗 💡 Today’s focus: Two Pointer Technique (Fast & Slow pointers) Instead of calculating length, I used an efficient one-pass approach to remove the target node. 🧠 Key Learnings: Dummy node helps handle edge cases (like removing head) Fast pointer moves n steps ahead Then move both pointers until fast reaches the end Slow pointer lands just before the node to delete ⚡ Clean, efficient & optimal solution (O(n) time, O(1) space) Consistency is starting to feel powerful now 💪 #DSA #LeetCode #CodingJourney #LinkedInLearning #100DaysOfCode #Day62 #Python #ProblemSolving

Day 119 Same problem family, new constraint — but now it feels easier. #Day119 🧩 40. Combination Sum II How today went: • Very similar to Combination Sum • First step: sort the array • Move to i + 1 (each element used once) • Skip duplicates to avoid repeating combinations Key idea: 👉 No reuse of same element 👉 Handle duplicates carefully What I realized: Once you understand the base pattern, variants like this become much easier. Backtracking is starting to feel natural now. #LeetCode #DSA #Python #Backtracking #Recursion #LearningInPublic #Consistency

🚀 Day 55 of my Problem Solving Journey Solved Remove Spaces today — a simple yet important string manipulation problem. 💡 Key Learning: Sometimes the easiest problems reinforce the strongest fundamentals. Efficient string handling and clean code matter just as much as complex algorithms. Explored multiple approaches — from built-in methods like "replace()" to manual iteration — and understood how each impacts readability and performance. Small steps like these build consistency and sharpen problem-solving skills over time. 💻 #geekstreak60 #npci #GeeksforGeeks #DSA #Python #ProblemSolving #CodingJourney

Beyond String Concatenation  When I started, I used to concatenate strings the old-school way. It was messy, prone to errors, and hard to read The Problem: Using + requires manual type conversion (like str(21)) and gets confusing with all the extra quotes and spaces Solution: F-strings Introduced in Python 3.6, F-strings makes your code: ✅ Readable: You see the full sentence structure ✅ Fast: They are more efficient than older methods ✅ Flexible: You can perform math or call methods directly inside { } It’s a small concept, but it’s one of the easiest ways to make code look 10x more professional. #Python #30DaysOfCode #BCA #LearningInPublic #Day21 #JECRC Day 21/30

Day 1 of my LeetCode journey 🚀 🧩 Problem: Minimum Distance to the Target Element (1848) 💡 Approach: Looped through the array and tracked the minimum absolute difference whenever the target appeared. 📚 What I learned today: • How to iterate through a list efficiently • Using abs() to compute absolute difference • Tracking minimum values during iteration • Initializing variables correctly using infinity • Better understanding of loops and conditional checks in Python 🛠 Language Concepts Used: • for-loop • if condition • abs() function • min() logic / running minimum ⏱ Time Complexity: O(n) 📦 Space Complexity: O(1) 🔗 GitHub: https://lnkd.in/gZ23dWkV #LeetCode #Python #DSA #100DaysOfCode #LearningInPublic

🐍 One thing I learned from working with real systems: Most issues are not in writing code... they are in understanding failures. When something breaks, I now focus on: → Logs analysis → Reproducing the issue → Identifying root cause Instead of jumping to fix, I try to understand why it failed. This approach has improved my problem-solving a lot. #Python #Debugging #ProductionSupport #Learning

From “it works” to “it won’t break” While writing a code, Getting it to work is one thing, 𝗠𝗮𝗸𝗶𝗻𝗴 𝘀𝘂𝗿𝗲 𝗶𝘁 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗯𝗿𝗲𝗮𝗸 is another. price = products["Laptop"] This works fine… until the 𝗸𝗲𝘆 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗲𝘅𝗶𝘀𝘁 . That’s when the program crashes. So instead of assuming every piece of data is present, Its better to start thinking about what happens when it isn’t. In college projects, we often focus on making things work. In real-world scenarios, 𝗲𝗱𝗴𝗲 𝗰𝗮𝘀𝗲𝘀 matter just as much. 𝗗𝗮𝘆 𝟭𝟮/𝟯𝟬 #Python #LearningInPublic #Day12 #30DaysOfCode #SoftwareEngineering

🚀 Day 41 – LeetCode Journey Today’s problem: Add Binary ✔️ Implemented binary addition manually ✔️ Handled carry propagation efficiently ✔️ Worked with string manipulation and indexing 💡 Key Insight: Binary addition follows the same rules as decimal addition, but with base 2. Managing the carry correctly is the key to building the final result. This problem improved my understanding of bit-level operations and string handling. Step by step, mastering the fundamentals 🔥💪 #LeetCode #Day41 #Binary #Strings #Python #ProblemSolving #CodingJourney #100DaysOfCode

LeetCode Progress Update — 18/100 Just solved “415. Add Strings” This problem was a great reminder that sometimes the best solutions come from going back to fundamentals — in this case, simulating manual addition digit by digit instead of relying on built-in conversions. Key Takeaways: Handling numbers as strings strengthens problem-solving skills Mastering carry logic is essential for many algorithmic problems Clean, efficient logic > shortcuts Problem Level: Easy Concepts: String Manipulation, Simulation Every step forward counts. On to the next one! #100DaysOfCode #DSA #LeetCode #ProblemSolving #CodingJourney #Python