Ever debugged for hours only to realize you were comparing Strings with == instead of .equals()? You're not alone. 🤦♂️ The culprit? Java's String Pool - a memory optimization that trips up even experienced developers. I just wrote a deep dive into: ✅ How String Pool actually works behind the scenes ✅ Why comparing the same content with == sometimes returns true, sometimes false ✅ The intern() method and when to use it ✅ Real performance benchmarks ✅ Common pitfalls that waste memory Practical code examples included. 5-minute read. Read here: https://lnkd.in/g4emECJM #Java #Coding #Programming #SoftwareDevelopment #SoftwareEngineering
Debugging Java String Comparisons with == vs .equals()
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Day 47 of #100DaysOfLeetCode Today's problem: Reverse Words in a String Language used: Java What I did today: I implemented a solution to reverse the order of words in a given string while handling extra spaces efficiently. Used split("\\s+") to handle multiple spaces. Reconstructed the reversed string using StringBuilder. Applied trim() to clean up leading and trailing spaces. Key Takeaways: split("\\s+") is great for ignoring multiple spaces. Always use trim() to ensure a neat final output. StringBuilder makes string manipulation much faster than direct concatenation. #100DaysOfCode #LeetCode #Java #CodingChallenge #ProblemSolving #Programming #DeveloperJourney #LearnToCode
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Recently, I got curi🤔us about how high-level languages like Go, Java, or Rust are actually built. Do they all start from assembly? Turns out, not all high-level languages start from assembly. Take Go (Golang) as an example, the first Go compiler that turned Go code into machine code was written in C, not assembly. As Go matured, this C-based compiler was replaced by a new compiler written in Go itself. This fascinating process is called bootstrapping, it’s when a programming language’s compiler is written in the same language it compiles. In other words, the language learns to build itself. #golang #rustlang #bootstrapping #compiler #java #SoftwareDevelopment #Programming #GoDeveloper #SoftwareEngineering
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Day 43 of #50DaysOfLeetCodeChallenge Problem: Valid Parentheses Approach: Used a stack to keep track of opening brackets. For each closing bracket, checked if it matches the top of the stack. Returned false if there was a mismatch or stack was empty. This ensures all brackets are properly nested and closed. Key Takeaways: Stacks are perfect for problems involving nested structures. Simple traversal with O(n) time complexity and O(n) space. Feeling more confident handling pointers and references in Java! Performance: Using a stack this way really helped me understand how to manage nested elements efficiently. #LeetCode #Java #DSA #CodingChallenge #ProblemSolving #Stack #Programming
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🧠 Day 13: Understanding Loops and Operators in Java Today, I took a deep dive into loops and operators — the real backbone of logical thinking in programming. When I first saw loops, they felt tricky. But once I started solving problems, I realized they’re just smart ways to repeat tasks — and operators help us make decisions inside them. 💻 Here’s what I practiced today: Sum or Product of numbers Terms of an Arithmetic Progression (AP) Reverse of a number Binary ↔ Decimal conversions Square root calculation Checking number sequence Pattern problems: ➤ Mirror number pattern ➤ Inverted number pattern ➤ Star pattern ➤ Triangle of numbers ➤ Diamond of stars ✨ Each problem taught me how to control logic flow, use nested loops effectively, and think step by step like a programmer. 🚀 Every loop I wrote made me more confident about how code really works behind the scenes. 💬 What was the first programming concept that made things finally “click” for you? #Java #Loops #Operators #CodingJourney #ProblemSolving #100DaysOfCode #LearningDSA #CodeNewbie #TechLearning #NeverStopLearning #WomenInTech #BuildInPublic #DeveloperJourney #CodingCommunity #LearnJava #ProgrammingBasics #KeepCoding #CodeNewbie #TechJourney
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✅Day 74 of #100DaysOfLeetCode 1.📌Problem: Reverse Vowels of a String 2.🟩 Difficulty: Easy 3.📍Topic: Two Pointers 4.🎯 Goal: Given a string, reverse only the vowels in the string and return the modified string. Vowels include 'a', 'e', 'i', 'o', 'u' in both lower and upper cases. 5.🧠key idea: Approach 1: Use two pointers, one starting from the beginning and one from the end. Move towards each other, swap the vowels found at each pointer, and continue until all vowels are reversed. #LeetCode #CodingChallenge #100DaysOfCode #Algorithms #TechCareers #CodeNewbie #WomenWhoCode #Java #Programming #DailyCoding #Developer #InterviewPrep #TwoPointers #DataStructures #LearnToCode #ProblemSolving
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📝 COMMENTS IN THE MIDDLE? TIME TO REFACTOR. If you need a comment to explain a chunk of logic inside a method, that logic probably deserves its own name. 👉 “Mid-method comments are a smell—extract a clearly named private method.” Name the intent, not the mechanics. Small, well-named methods read like a story and make bugs easier to spot. ✅ #CleanCode #Refactoring #Readability #SoftwareCraftsmanship #CodeQuality #DeveloperTips #Programming #Java
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✅Day 75 of #100DaysOfLeetCode 1.📌Problem: Given two strings s and t, return true if s is a subsequence of t, or false otherwise. A subsequence of a string is a new string formed by deleting some (can be none) of the characters without disturbing the relative position of the remaining characters. 2.🟢 Difficulty: Easy 3.📍Topic: Two Pointers 4.🎯 Goal: Check if a given string is a subsequence of another string. 5.🧠Key idea: Approach 1: Use two pointers to traverse both strings. Increment the pointer for s when a matching character in t is found. If all characters of s are matched in order in t, s is a subsequence of t. #LeetCode #100DaysOfCode #CodingChallenge #Programming #Java #DataStructures #Algorithms #StringManipulation #TwoPointers #InterviewPrep #LearnToCode #TechCareers #CodeDaily #ProblemSolving #Subsequence #Accepted
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🚀 Day 140 of #150DaysOfCode on LeetCode Solved: 1526. Minimum Number of Increments on Subarrays to Form a Target Array Language: Java The task was to determine the minimum number of subarray increment operations needed to build the target array from all zeros. 🔹 Intuition: Every time the current element is greater than the previous one, it means we need that many new operations to reach the next level. Decreases don’t add extra work since earlier increments already cover them. 🔹 Approach: Start with the first element’s value as the initial count. For each subsequent element, if it’s larger than the previous one, add the difference. The sum of all such differences gives the minimum number of operations required. 🔹 Complexity: Time: O(n) Space: O(1) #LeetCode #150DaysOfCode #Java #CodingChallenge #ProblemSolving #Greedy #Arrays #DSA #TechLearning #Programmer #WomenInTech #CodeJourney #DynamicProgramming
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Why does 1 == 1 return true but 128 == 128 return false in Java? 🤔 Last week, I stumbled across this little Java “paradox” again — and it reminded me how deep even the simplest lines of code can go. I broke it down in my latest article — explaining what really happens under the hood with Integer caching and autoboxing. 👉 Check it out here: https://lnkd.in/ef2Zxadr #Java #Programming #Coding #SoftwareEngineering #JavaInternals
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