🔢 Day 23 – Matrix Problems in Python 🚀 Today, I continued my Python problem-solving journey by practicing Matrix problems. Matrices help strengthen nested loops, indexing, and logical thinking, which are essential for coding interviews and real-world problem solving. 📌 Topics Covered: ✔️ Accessing rows and columns ✔️ Printing specific rows or columns ✔️ Diagonal elements (Primary & Secondary) ✔️ Row-wise and column-wise operations ✔️ Matrix traversal using loops #Day23 #Python #Matrix #ProblemSolving #LearningInPublic #CodingJourney

Hello everyone, Welcome to my Day 9 of the Evergreen Digital Tech Solution(EDTS) 30 Days Visibility Challenge. Today, I’ll be sharing a brief tutorial and overview of my first major Python project titled Housing Price Prediction using Linear Regression. In this project, I explored how to build a predictive model, understand relationships between variables, and evaluate model performance using fundamental machine learning concepts. I’m excited to walk you through the process. Enjoy. Jacinta Ezeabikwa Francisca Chinonye Ezeabikwa Evergreen Digital Tech Solution(EDTS) #Learninginpublic #python #dataanalytics #TechyEsteem #prediction #linearregression #womanintech

🚀 OpenCV Mini Project – Mouse Event Handling I developed a small project using Python and OpenCV where mouse events are used to interact with an image. By clicking on the image, the program captures the mouse coordinates and dynamically draws points. This project helped me understand: • Mouse Event Handling in OpenCV • Image Interaction using Python • Basics of Digital Image Processing Technologies Used: • Python • OpenCV 🔗 GitHub Repository: Explore the full project and code here: Digital-Image-Processing-Projects https://lnkd.in/d7v7YCHB #Python #OpenCV #ComputerVision #MachineLearning #AI #ImageProcessing

We just finished the first YouTube series on py-dss-toolkit. If you use OpenDSS with Python, this series shows practical ways to explore models, extract results, and visualize studies more efficiently. You can use py-dss-toolkit to: ✅ work with OpenDSS data in a more structured way 📊 move results into pandas DataFrames for analysis 💻 create visual workflows, including in Google Colab I’d love your feedback: what should the next series focus on? 🔎 Plotting? 🔎 QSTS? 🔎 Model exploration? 🔎 Automation? #OpenDSS #Python #PowerSystems

Solved an interesting array problem using prefix sums + hash maps 🚀 This solution efficiently finds the longest subarray based on a comparison condition (arr[i] > k) by converting the problem into a prefix sum balance and tracking first occurrences with a hashmap. ✅ O(n) time complexity ✅ Smart use of prefix sums ✅ Great example of turning a complex condition into a simple math problem Always fun when problem-solving meets optimization! 💻📊 #Python #DataStructures #Algorithms #CodingInterview #ProblemSolving #100DaysOfCode

I'm thrilled to announce the first release of HaloBlocks 🎉—a new Python library where every neural network component is a composable, plug-and-play block. Built for clarity and performance, it features modular MoE, VLA blocks (like Flow Matching), and a clean factory pattern for seamless model block integration and usage ✅ Install via pip ( python 3.13 available): pip install haloblocks Would love to hear your thoughts! #HaloBlocks #Python #AI #OpenSource

SkillCourse Day 5/30: Mastering User Interaction in Python I just wrapped up Day 5 of the "30 Days of Python with AI" challenge by Satish Dhawale sir! Today was all about making programs interactive. Key takeaways: The input() function: Learning how to capture user data. Type Casting: Why converting strings to int() or float() is crucial for calculations (no more 1 + 1 = 11 errors!). Data Integrity: Understanding how Python handles different data types during input. #Python #CodingChallenge #AI #LearningInPublic #SatishDhawale #DataAnalyst

🚀 Solved Today’s GeeksforGeeks POTD: Subarrays with First Element Minimum using Python 🐍 Problem: Given an integer array, count the number of subarrays where the first element is the minimum element of that subarray. Approach: Solved this problem using the Next Smaller Element technique with a stack: • For each element, found the next smaller element to its right • All subarrays starting at that index and ending before the next smaller element remain valid • Counted these ranges to compute the total number of valid subarrays efficiently This problem helped reinforce my understanding of: ✔️ Monotonic stack patterns ✔️ Next smaller element concept ✔️ Optimizing subarray problems from O(n²) to O(n) 💡 Time Complexity: O(n) 💡 Space Complexity: O(n) Consistent practice with DSA problems continues to improve my problem-solving skills and algorithmic thinking 💪 #geekstreak60 #npci #geeksforgeeks #dsa #python #algorithms #monotonicstack #codingjourney

Floyd's Cycle Detection always felt like magic to me. Two pointers. One moves 1 step. The other moves 2. If they meet — there's a cycle. Then a second phase finds exactly where the cycle starts. But WHY does this work? Why does resetting slow to head and moving both at 1 step guarantee they meet at the cycle start? The proof is mathematical, but the intuition is visual. I built an animation that shows the tortoise and hare chasing through the cycle. You watch them converge, meet, and then trace back to the start — step by step, synced with Python code. Once you see it, you never forget it. https://lnkd.in/gHhQtANE #FloydAlgorithm #TwoPointers #LeetCode142 #CodingInterview #Algorithms #DataStructures #Python #FAANG #AlgoVision