Gray Code Generation in C++ with Bit Manipulation

Invert Binary tree Approach: check if node is null or not if null return null swap left node and right ( not value complete node ) go to left (recursively) go to right (recursively) return node TC: O(N) SC:O(N)- recursive stack #DSA #programming #coding #problemSolving

Solved the Target Sum Expression problem in C++ today. The challenge was to count how many different expressions can be formed by placing '+' or '-' before each number in an array so that the final result equals the target. For example: arr = [1, 1, 1, 1, 1], target = 3 Output = 5 What I learned: 1. Each number gives us two choices: add or subtract 2. This problem can be solved efficiently using Dynamic Programming 3. We track how many ways each sum can be formed as we move through the array Key takeaway: Instead of generating all expressions manually, DP helps us store intermediate results and avoid repeated work. #cpp #programming #dsa #dynamicprogramming #codingchallenge #leetcode #geekforgeeks #softwaredeveloper

Built a custom string handling class in C++ from scratch — without using std::string. This project focuses on: • Dynamic memory management using new[] and delete[] • Implementation of the Rule of Three (Destructor, Copy Constructor, Copy Assignment) • Manual string manipulation algorithms (reverse, case conversion, word counting) • Operator overloading for intuitive usage (+, +=, [], (), comparison operators) The goal was to deeply understand how strings work internally rather than relying on built-in abstractions. A great exercise in mastering memory management, object-oriented programming, and low-level string operations in C++. #cpp #programming #softwareengineering #oop #learning #developers

🚀 C++ Basic Syntax: Statements and Semicolons In C++, a statement is a complete instruction that the computer executes. Every statement in C++ must end with a semicolon (;). The semicolon tells the compiler where a statement ends. Forgetting the semicolon will result in a compilation error. This is a fundamental aspect of C++ syntax, ensuring the compiler can correctly parse and execute your code. #c++ #programming #coding #tech #learning #professional #career #development

Ever wonder how the C++ compiler actually tells the difference between overloaded functions? We write functions with the exact same name and take the magic for granted. But under the hood, the linker requires a unique identifier for every single function. The secret? Name Mangling. Check out the image below! 👇 The compiler automatically alters the function's name based on the number and types of its arguments. To us, it’s just display(). To the compiler, they are two completely different entities (like i for int, d for double). The ambiguity is resolved before the code is even linked. It's a great reminder of how much heavy lifting the compiler does behind the scenes to keep our APIs clean and readable. What’s a concept you used for years before finally looking under the hood? Let's hear it below! #CPP #Cplusplus #SoftwareEngineering #TechTrivia #Programming #BackendDevelopment

Stop memorizing Rust rules. Start deriving them. 🦀 This free interactive course reframes the borrow checker not as a set of rules to memorize, but as the logical outcome of three primitives: Space, Time, and Coordinates. 📐 Every memory bug is just a failure in one of these three dimensions: 🔸 Use-after-free 🔸 Dangling pointer 🔸 Data race 🔍 Understand the framework, and the compiler's behavior clicks into place. ✅ 💡 Highly recommended for experienced devs, especially those with a C/C++ background. 👇 https://lnkd.in/gAsQvjhv #Rust #RustLang #Programming #SystemsProgramming #SoftwareEngineering

🚀 Code 8 – #50LeetCodeChallenge 🧩 Problem: Merge Sorted Array Given two sorted arrays, merge them into a single sorted array in-place within nums1, without using extra space. 💡 Approach: Use the two-pointer technique from the end: • Start comparing elements from the back of both arrays • Place the larger element at the end of nums1 • Continue until all elements are merged 📚 Key Takeaway: Working from the end avoids overwriting existing elements and ensures an efficient O(m + n) solution with O(1) extra space. #LeetCode #Java #Coding #ProblemSolving #Arrays #TwoPointers #Programming 

🚀 Exploring the Power of Recursion with C++ Recently, I worked on another pattern generation problem using C++, focusing on recursion and conditional logic to create a clean and symmetric star pattern in the console. At first glance, it looks like a simple design — but implementing it required: ✔️ Precise control over recursive function calls ✔️ Careful handling of multiple parameters (i, j, k, l) ✔️ Logical conditions to maintain symmetry and alignment ✔️ Writing structured and readable code for better clarity What made this interesting was how small changes in conditions completely impacted the output pattern. It reinforced the importance of attention to detail and strong fundamentals in programming. 💡 Key Insight: Recursion is not just a concept — it’s a powerful tool that, when combined with clean logic, can solve complex problems in an elegant way. Consistently practicing such problems is helping me strengthen my problem-solving skills and deepen my understanding of core concepts in C++. Always improving. Always building. #Cplusplus #Recursion #Programming #DSA #ProblemSolving #CodingJourney #SoftwareDevelopment

Today I worked on a classic problem: rotating a 2D matrix by 90° clockwise and understood a clean, efficient approach 🚀 💡 Instead of using extra space, we can solve it in-place using two simple steps: 1️⃣ Transpose the matrix → Convert rows into columns by swapping matrix[i][j] with matrix[j][i] 2️⃣ Reverse each row → Use two-pointer technique to swap first and last elements, moving inward ✨ Why this works? Transpose changes the direction of elements, and reversing each row completes the 90° rotation. 🧠 Key takeaway: Rotate = Transpose + Reverse rows 📌 This approach improves problem-solving skills in arrays and helps understand matrix transformations deeply. #Java #LeetCode #DataStructures #CodingJourney #ProblemSolving #Programming #Students #Learning

Just discovered something interesting in C++ In C++: 👉 arr[i] and i[arr] are exactly the same. 𝗪𝗵𝘆? Because arr[i] is just pointer math: arr[i] == *(arr + i) i[arr] == *(i + arr) Since addition is commutative, both give the same result. 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: You might never write i[arr] in real-world code, but understanding this gives you a deeper insight into how C++ actually works. #CPP #Programming