🚀 Just solved the “Valid Number” problem on LeetCode! This problem looks simple at first glance—but handling edge cases like decimals, signs, and exponents makes it a great test of attention to detail and logical thinking. ✅ Key takeaways: Careful handling of edge cases is crucial Validating input step-by-step can simplify complex parsing problems Writing clean, readable logic beats overcomplicated solutions 💡 Performance: ⚡ Runtime: 3 ms 🧠 Efficient space usage ✅ All test cases passed Problems like this remind me that consistency in practice is what builds strong problem-solving skills. On to the next one! 🔥 #LeetCode #Coding #Python #ProblemSolving #SoftwareEngineering #AIEngineerJourney link of #Solution :- https://lnkd.in/ga9b5pVb
Solving the Valid Number Problem on LeetCode with Attention to Detail
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Just solved “Second Largest Digit in a String” on LeetCode — and here’s the simple approach I followed 👇 Instead of overcomplicating it, I focused on clean thinking + Python basics: 🔹 Converted the string into a set → removes duplicates instantly 🔹 Filtered only digits using isdigit() 🔹 Stored them as integers in a list 🔹 Sorted the list → easy access to largest & second largest 🔹 Edge case check: if less than 2 digits → return -1 💡 Key takeaway: Sometimes the most optimal solution isn’t about complex algorithms — it’s about using the right built-in tools smartly. 🚀 What I’m improving with each problem: • Writing cleaner logic • Thinking in steps instead of rushing • Handling edge cases early Consistency > Complexity. #LeetCode #DSA #Python #ProblemSolving #CodingJourney #100DaysOfCode
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🚀 Day 38 – LeetCode Journey Today’s problem: Gray Code ✔️ Generated sequence using bit manipulation ✔️ Applied formula: "i ^ (i >> 1)" ✔️ Ensured only one bit changes between consecutive numbers 💡 Key Insight: Gray Code is useful in minimizing errors in digital communication, as only one bit changes at a time. Using bitwise operations makes the solution both elegant and efficient. This problem improved my understanding of bit manipulation and binary patterns. Exploring deeper into low-level concepts 🔥💪 #LeetCode #Day38 #BitManipulation #Binary #Python #ProblemSolving #CodingJourney #100DaysOfCode
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Another LeetCode problem down! ✅ Today I tackled Valid Anagram. The core of the problem is verifying if two strings contain identical character counts. For my solution, I leveraged Python's built-in sorted() function. The Logic: 1️⃣ Check if the lengths are equal (if not, they can't be anagrams!). 2️⃣ Sort both strings alphabetically. 3️⃣ Compare the sorted strings—if they match perfectly, return True. It’s a clean and readable approach that gets the job done. #Coding #DataStructures #Python3 #LeetCode #SoftwareEngineering
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🚀 Day 89 of #100DaysOfCode Solved LeetCode Problem 231 — Power of Two ✅ Cracked this one with a clean and efficient bit manipulation approach. The goal was to check whether a number is a power of two without using loops or recursion. 💡 Key Insight: A power of two has exactly one set bit in its binary form. So, using the trick: 👉 "n > 0 and (n & (n - 1)) == 0" This removes the lowest set bit — if the result is 0, it's a power of two. ⚡ Performance: • Runtime: 0 ms (Beats 100%) • Memory: 19.27 MB 🔍 What I learned: • Bit manipulation is insanely powerful • Writing optimal solutions matters • Small tricks can save big time Consistency > Motivation. On to Day 90 🔥 #LeetCode #DSA #CodingJourney #100DaysChallenge #BitManipulation #Python
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🚀 Day 96 of #LeetCode Journey 📌 Problem: Count and Say (Medium) Today’s problem looked simple at first glance—but it quickly tested my ability to observe patterns and think recursively. 🔍 Key Idea: The sequence builds itself by describing the previous term: - Start with "1" - Then keep "reading" the digits of the last result Example progression: 1 → "1" 2 → "11" (one 1) 3 → "21" (two 1s) 4 → "1211" (one 2, one 1) 💡 What I learned: - This problem is all about pattern recognition + string manipulation - It’s essentially run-length encoding (RLE) - Breaking the problem into a helper logic made it much cleaner ⚡ Challenges faced: - Handling consecutive characters correctly - Avoiding off-by-one mistakes while traversing - Keeping the logic readable instead of overcomplicating 📈 Outcome: ✅ Accepted ⚡ Runtime: 7 ms Consistency > Motivation. Showing up every day. #Day96 #LeetCode #DSA #ProblemSolving #CodingJourney #Python #Consistency
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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
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🚀 LeetCode Progress Update – Problem Solved! ✅ Problem: Remove Trailing Zeros From a String 💡 Approach: Used reverse traversal to find the first non-zero digit and sliced the string accordingly. 🔍 Key Learning: Efficient string manipulation can avoid unnecessary conversions. Traversing from the end helps solve trailing-based problems quickly. 💻 Code Insight: Instead of removing zeros one by one, I identified the breakpoint and sliced the string — making it optimal and clean. ⏱️ Performance: Runtime: 3 ms ⚡ Beat: 66%+ users Memory: 19.23 MB 📈 Consistency is key — one problem closer to mastery! #LeetCode #CodingJourney #Python #ProblemSolving #DSA #100DaysOfCode
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🚀 Day 85 of #100DaysOfLeetCode 🔍 Problem Solved: Ransom Note (LeetCode 383) Today’s problem was all about efficiently checking whether one string can be constructed from another — a classic hashing / frequency counting concept. ⚡ What I Learned: - Importance of frequency maps (hash tables) - Writing optimized solutions over naive approaches - How built-in methods can simplify logic but may impact performance 📊 Performance: ✅ Runtime: 0 ms (Beats 100%) ✅ Memory: Efficient usage 🔥 Takeaway: Small optimizations and choosing the right data structure can make a huge difference, even in easy problem #Day85 #LeetCode #CodingJourney #Python #DataStructures #ProblemSolving #100DaysOfCode
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🚀 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
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🚀 Day 75 of #100DaysOfCode 🔥 LeetCode 179 – Largest Number 💡 Problem: Given a list of non-negative integers, arrange them such that they form the largest possible number. 🧠 Key Insight: Normal sorting won't work here ❌ We need a custom comparator based on string concatenation. 👉 Compare: - ""a + b"" vs ""b + a"" - Whichever gives a larger value should come first. ⚙️ Approach: 1. Convert numbers to strings 2. Sort using custom comparison logic 3. Join the result 4. Handle edge case (like "[0,0] → "0"") ⚡ Complexity: - Time: O(n log n) - Space: O(n) 🎯 Result: ✅ Accepted ⚡ Runtime: 0 ms (100%) 📌 Lesson Learned: Sometimes sorting logic depends on combination, not value. #LeetCode #Python #CodingJourney #DSA #100DaysOfCode #Sorting #ProblemSolving
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