Mastering Algorithms with Python Essentials

🔁 Exploring Sorting Algorithms in Python Today I practiced two fundamental sorting techniques: ✅ Bubble Sort ✅ Selection Sort 💡 Key Learnings: * Bubble Sort repeatedly swaps adjacent elements to push larger elements to the end * Selection Sort selects the minimum element and places it in the correct position * Understanding time complexity becomes clearer when you count operations manually #Python #DataStructures #Algorithms #CodingJourney #100DaysOfCode #LearningInPublic

🚀 Day 6/30 – Python Challenge Exploring loops in Python today! 🐍 🔹 Key Concepts: * for loop using range() * while loop execution * Iteration and repetition in programs 💻 Mini Task: Printed numbers from 1 to 5 using both for loop and while loop to understand their working. 🎯 Learning Outcome: Learned how loops help automate repetitive tasks and make code more efficient. Consistency + practice = improvement 📈 #Python #CodingChallenge #LearningJourney #AI #StudentDeveloper #Day6

Week 1 – Learning Progress in Generative AI 🚀 This week I focused on: Python fundamentals for data handling Working with libraries like pandas, numpy and matplotlib Setting up the development environment in VS Code Key takeaway: Understanding the environment setup and libraries is just as important as writing code. Small setup issues can slow you down, but solving them builds confidence. Looking forward to diving deeper into real-world data problems next. #GenerativeAI #Python #LearningJourney #CareerTransition

Hot take: the overhead to learn more abstractions is only useful when the value is 10x more than the investment of learning time. That's why simple abstractions that get out of the way are better. Senior engineers figured this out already and that's why they keep abandoning agent frameworks for while loops in plain Python. They don't want a framework. They want primitives. #AgentFrameworks #LLM #Python

ops-code just hit 50 downloads on the VS Code marketplace—that is pretty cool! Version 0.1.0 introduces tools: users can create their own python scripts that will run automatically after analysis, consuming the fem-results and producing tabular output displayed in the viewer. See the demo at https://lnkd.in/euRXSNE2 #OpenSees #StructuralEngineering #VSCode #Python #AI #3DVisualization #CivilEngineering

🚀 Day 11 of #500DaysOfCoding Today’s problem: Maximum Average Subarray I I used the sliding window technique to solve this problem and reduced the time complexity to O(n). 💡 Key Takeaways: - Precompute the sum of the first window - Slide the window by adding the next element and removing the previous one - Track the maximum sum → compute the maximum average. On to Day 12 🔥 #CodingJourney #DataStructures #Algorithms #Python #ProblemSolving

Day 4 of my Machine Learning journey 🚀 Explored Min-Max Scaling technique to normalize feature values between 0 and 1. Learned why scaling is important when features have different ranges and how it impacts model performance. Building strong fundamentals in machine learning step by step 💪 #MachineLearning #Python #DataScience #ML #Learning

NumPy Practice – Day 2 🚀 Continued my NumPy learning and practiced: 🔹 Reshaping & flattening arrays 🔹 Stacking arrays (horizontal & vertical) 🔹 Random number generation 🔹 Finding unique & duplicate elements 🔹 Sorting & moving averages Key learning: NumPy enables efficient array operations and reduces the need for loops. 📒 Sharing my Google Colab notebook: https://lnkd.in/gs3aZcfY #Python #NumPy #DataScience #LearningInPublic

LeetCode | Count Good Numbers 🔢 🔹 Concept: Combinatorics + Modular Exponentiation 🔹 Idea: Even positions → 5 choices, Odd → 4 choices 🔹 Time Complexity: O(log n) Use math + fast power to handle large inputs efficiently 💡 #LeetCode #DSA #Math #ModularArithmetic #Python #CodingJourney