Solved LeetCode's Square Root (x) with Optimized Binary Search

🚀 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

Day 64 of my #100DaysOfCode challenge 🚀 Today I worked on generating all combinations of a string using Python’s itertools module. This is an important concept in combinatorics and widely used in problem-solving and interviews. What the program does: • Takes a string as input • Generates all possible combinations (subsets) • Uses itertools.combinations() • Prints combinations of all lengths Example (Input: "abc"): All combinations: a b c ab ac bc abc How the logic works: Step-by-step: 1. Loop from length = 1 to n 2. Generate combinations of each length 3. Join characters into strings 4. Store and print results It systematically builds all possible subsets ✔️ Why this is important: – Core concept in combinatorics – Used in problems like: Subset generation Feature selection Probability problems – Frequently asked in interviews – Helps understand power set logic Time Complexity: O(2ⁿ) Space Complexity: O(2ⁿ) Key Takeaways: – Understanding combinations vs permutations – Using Python’s powerful itertools – Generating subsets efficiently – Clean and readable implementation #100DaysOfCode #Day64 #Python #Programming #Combinations #Itertools #Algorithms #DSA #CodingPractice #ProblemSolving #InterviewPrep #LearnByDoing #DeveloperJourney #Consistency #BTech #CSE #AIandML #VITBhopal #TechJourney

Algorithm efficiency in a single pass. 👨💻 I managed to optimize this array manipulation challenge, hitting the performance peak in Python (0ms / Beats 100%). The key was a linear O(n) approach that minimizes memory interaction and avoids unnecessary overhead. For me, the real craft of software engineering isn't just about solving the problem—it's about building solutions that are both clean and highly efficient. You can find my full technical breakdown and implementation here 👉 https://lnkd.in/dfHpT5Zz #LeetCode #Python #Backend

Analytica 7.0 is here, and it's a game-changer. For the first time, you can seamlessly integrate Python's vast ecosystem of libraries directly into your Analytica models. Whether you want to tap into machine learning frameworks, create specialized visualizations, or leverage third-party tools, you can now write Python code right inside Analytica variables and functions. Mix and match languages based on what works best for each task, while still enjoying Analytica's visual influence diagrams, automatic dependency tracking, and intelligent array handling. Python developers will love using Analytica as an interactive development environment, while Analytica modelers gain instant access to thousands of powerful libraries. #software #analytics #decisionmodeling #riskmanagement #Python

Worked on a small project using LangChain to build a dynamic prompt system. Instead of hardcoded prompts, I used templates that adapt based on inputs like topic, audience, and tone. It helped me understand how real-world prompt engineering works. Still learning 👍 #GenAI #LangChain #Python

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

Binary precision in a single pass. 👨💻 I optimized this Add Binary challenge with a clean linear approach, achieving solid performance in Python (3ms / Beats 66.35%). The key was an O(n) two-pointer strategy with carry handling, processing each digit once while avoiding costly integer conversions and unnecessary overhead. Strong software engineering is not only about solving the problem—it’s about designing solutions that are efficient, readable, and easy to replicate across languages. You can find my full technical breakdown and implementation here 👉 https://lnkd.in/dDxKUyJS #LeetCode #Python #Backend

From Code to Combat 💥 Who says programming can't be a little "supercharged"? I spent some time building a real-time gesture recognition tool in Python. By tracking hand coordinates and calculating the velocity of movement, I’ve managed to turn code into energy. It’s one thing to build a backend system, but seeing your logic manifest as a visual blast is a different kind of win. So you got to know an animie fan..hehehe #Python #OpenCV #DragonBallZ #CreativeCoding #MachineLearning #TechDemo

🚀 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

I used to juggle pip, virtualenv, pyenv, poetry, and pipx just to set up a Python project. Then I discovered uv - and I haven't looked back. uv is an extremely fast Python package and project manager (written in Rust ⚡) that replaces all of them with a single tool - 10-100x faster than pip. Whether you're starting a fresh project or migrating an existing one, this carousel walks you through everything - from the old way to the new way, command by command. Swipe through ➡️ #Python #SoftwareEngineering #BackendEngineering #uv #DevTools #AIEngineering #FastAPI