💡 A small Python lesson from LeetCode While solving LeetCode #8 (String to Integer – atoi), I wrote two solutions that were both O(n) and logically identical. But one was faster. The reason? Not the algorithm but the way the code was written. Using elif instead of multiple if checks and avoiding extra branching made a noticeable difference. In Python, fewer condition checks = fewer instructions = better runtime. Nice reminder that Big-O isn’t everything, especially in interpreted languages. Learning moments like these are why I enjoy solving problems 😄 #Python #LeetCode #LearningInPublic #SoftwareEngineering #ProblemSolving

Want cleaner #Python code? Run this loop before every commit: format → lint → typecheck → test Miss a step? Bugs slip through. Do it manually? You'll forget. The fix: pre-commit hooks that block bad commits automatically.  Free live session this Thursday with Julian Sequeira, Bob Belderbos and Juan José Expósito González — see the modern Python stack in action. 🐍 #Python #CodeQuality #SoftwareEngineering

Problem: Contains Duplicate (LeetCode #217) 💡 Concept Learned: Today I practiced a simple LeetCode problem: Contains Duplicate using Python. At first, I tried the brute-force approach by comparing each element with every other element using nested loops. It works, but it’s slow when the list becomes large. Then I learned a better way using a set. A key insight: If an element is already present in the set while traversing the array, a duplicate exists. 🎯 Key Takeaway: Choosing the right data structure makes a huge difference. A Hash Set helps reduce the time complexity from O(n²) to O(n) by enabling constant-time lookups. 📈 Slowly building confidence by solving one problem at a time and learning from mistakes. #DSA #LeetCode #100DaysOfCode #HashTable #Set #ProblemSolving #Python #CodingJourney #LearningInPublic #CodeNewbie

Python Clarity Series – Episode 9 Topic: Dictionary get() vs Direct Access 📌 Why does this code crash sometimes? d = {"a": 10} print(d["b"]) Error ❌ KeyError Better way: print(d.get("b")) Output: None 👉 d["key"] → Throws error if key missing 👉 d.get("key") → Returns None (safe access) 💡 Smart Tip: Use .get() when key might not exist. In real-world coding, this prevents crashes. This is beyond exam — this is practical Python. Have you used .get() before? #PythonTips #CodingClarity #FutureProgrammers

Consistency beats complexity 🔁 I recently built a calculator in Python using for loop and range(). Implemented a calculator in Python using for loop and range(), and it felt great to turn theory into something functional. Projects like these strengthen problem-solving skills and build confidence step by step. Looking forward to exploring more Python concepts! 🚀 Learning one concept at a time—and enjoying the process! 💻✨ #PythonJourney🔥

LeetCode | Delete Node in a Linked List 🔗 Since we don’t have access to the previous node, we overwrite the current node with the next. 🔹 Approach: In-place overwrite 🔹 Key idea: Copy next node value and bypass it 🔹 Time Complexity: O(1) 🔹 Space Complexity: O(1) Daily DSA practice to improve problem-solving skills 🚀 #LeetCode #DSA #LinkedList #Python #CodingJourney #LearningInPublic 

🐍 Python Term of the Day: divmod() (Python’s Built-in Functions) Returns a tuple containing the quotient and remainder from an integer division. https://lnkd.in/dnnytujw

Day 44 – Python with DSA 🐍📘 Today I learned one of the most important DSA techniques: Sliding Window. 🔹 What I understood: Used for subarray Helps optimize solutions from O(n²) to O(n) Works by adding one element and removing one element instead of recalculating 🔹 Problems practiced: Maximum Average Subarray Minimum Size Subarray Sum This concept really helped me understand how to think efficiently while solving problems. Slow progress is still progress 🚀 Consistency > Speed 💪 #Day44 #Python #DSA #SlidingWindow #LeetCode #SDE#CodingJourney

Sharing a demo of another small project I built using Python and Streamlit — a Seed Classification App 🌱 In this application, users can enter seed measurements like height, width, and thickness, and the system categorizes the type of seed based on these parameters. This project helped me understand how parameter-based classification logic and interactive UI components can be combined to build simple decision-support tools. It was a great exercise in turning numerical inputs into meaningful predictions using Python. Excited to keep building more data-driven applications! #Python #Streamlit #MachineLearningBasics #Classification #StudentDeveloper

Ever pushed a “small change” and somehow broke three other things the next day? Yeah… that’s exactly why testing exists. This carousel breaks down pytest vs unittest in plain English: what they are, when to use each, and why most modern Python projects lean toward pytest. No theory overload. No gatekeeping. Just practical guidance you can actually use in real projects. #Zerotoknowing #python #coding #pythoncourse