Power of Two – LeetCode Day 18/200 – Consistency over motivation 💪 Solved “Power of Two” on LeetCode using Python 🐍 Focused on implementing a clear loop-based approach while handling edge cases like n = 0. ✨ Key Learnings: Understanding mathematical properties of powers Writing clean and readable conditional logic Strengthening fundamentals in problem solving 📊 Result: ✅ Accepted ⚡ Runtime: 0 ms Small steps taken daily lead to big improvements 🚀 #200DaysCodingChallenge #LeetCode #Python #DSA #ProblemSolving #Consistency

🚀 Day-103 of Python Problem-Solving! Problem: Given a list of numbers, we wanted to: 1️⃣ Find the smallest prime in the list. 2️⃣ Multiply only the even numbers by that prime. 3️⃣ Keep the odd numbers unchanged. This exercise is a simple yet powerful way to combine mathematical logic with Python list operations. It helps strengthen problem-solving skills that are often asked in interviews and coding challenges. #Day103 #100DaysOfCode #PythonProgramming #PythonTips #CodingChallenge #ProblemSolving #LearnPython #TechLearning #PythonDevelopment #DataStructures #PythonPractice #CodeEveryDay

🚀 DSA 150 – Day 1 🧩 Leet code 217: Contains Duplicate Today I solved Contains Duplicate using Python. 🔎 Problem Summary: Given an integer array of nums, return True if any value appears at least twice, otherwise return False. 📚 Topics Covered: Arrays HashSet (using Python set) 💡 Key Learning: Instead of using nested loops (O(n²)), I used a HashSet to track seen elements while iterating once through the array. This reduced the time complexity to O(n) with O(n) space. Every small step builds stronger fundamentals. On to Day 1 💪🔥 #DSA #Python #Leet code #Problem solving #Coding journey

“Something new I learned in Python today” Even a correct mathematical function can misbehave because of floating-point precision. Replacing: math.ceil(x / d) with (x + d - 1) // d made the solution both safer and faster :) Love how debugging often turns into unexpected learning ;) #Python #CodingJourney #Debugging #LeetCode

📅 Day 7/30 – File Handling in Python Today I learned how Python works with files to store and manage data efficiently. Topics covered today: • File modes (r, w, a, x) • Reading files (read, readline, readlines) • Writing and appending data to files • Using with statement • Handling files with exception handling 📚 Learning resource used: • HackerBytez – https://lnkd.in/gzKTANVt Understanding how data is stored and handled in real-world applications 💪 Ready for Day 8 🚀 #Day7 #PythonChallenge #30DaysOfPython #FileHandling #Python #LearningInPublic #CodingJourney #ComputerScience #StudentLife

I just published my article on Python Dictionaries. In this blog, I explained: ✔ what dictionaries are ✔ how key–value pairs work ✔ simple Python examples ✔ real-life uses like phone book, student records & inventory systems This topic helped me understand how real applications store and manage data. Thank you @Innomatics Research Labs for encouraging practical learning. 👉 Read here: https://lnkd.in/g7WGamc2 😊 Innomatics Research Labs #Python #Programming #DataStructures #Coding #EDA

Excited to share my latest project: Rule-Based Expert System! This is a Python-based rule system that recommends project ideas based on user interest and skill level. It demonstrates basic conditional logic and beginner-friendly decision-making in Python. Features: - Takes user input (domain & skill level) - Suggests relevant project ideas - Simple and interactive Check it out on my GitHub: https://lnkd.in/gvPRKg7M #Python #AI #MachineLearning #RuleBasedSystem #Project #Coding

Solved LeetCode – Find Minimum in Rotated Sorted Array 💻153 🔹 Approach: Binary Search 🔹 Key idea: Identify the sorted half and track the minimum 🔹 Time Complexity: O(log n) 🔹 Space Complexity: O(1) Sharing my daily DSA practice and learning journey 🚀 #LeetCode #DSA #BinarySearch #Python #CodingJourney #MCA #LearningInPublic

🐍 “Python is slow.” That’s what beginners say. Yes, pure Python isn’t as fast as C++. But here’s the twist 👇 When you train a model using PyTorch or TensorFlow, you’re not actually running heavy computations in Python. Under the hood: • Core operations are written in highly optimized C++ • GPU acceleration runs through CUDA • Linear algebra is powered by low-level compiled code Python is just the clean interface. The real performance engine is running beneath it ⚙️ 👉This is why I chose Python early in my AI journey — simplicity on top, performance underneath. #Python #ArtificialIntelligence #MachineLearning #DeepLearning

Day 49 of Python with DSA 🚀 Today’s problem helped me deeply understand how linked lists differ from arrays. When asked to splice nodes, the goal is not to create new data — it’s to manipulate pointers and reuse existing memory. The more I practice, the more I improve at writing efficient, interview-ready solutions. Discipline + consistency = growth 💪 #Day49 #Python #DSA #LinkedList #ProblemSolving #SDE#CodingJourney