NumPy Arrays vs Python Lists: Performance Matters

sqrt() calculates the square root of a number. After calculating the root, the result participates in the rest of the arithmetic expression. 📌 Answer: B) 6 #Python #MathFunctions #PythonChallenge #LearningInPublic #CodingPractice

Popular libraries , modules&Packages I learned in 2nd sem:- - Random module - Time module - Tkinter - Turtle - Qr code - Math - Array - Numpy - Pandas - Matplotlib - Sns #Python #Numpy #Pandas #Matplotlib

Over the past week I've been learning Computer Vision in Python. As a capstone, I developed a program using mediapipe and pycaw to create a volume control tool using the distance between hand landmarks. The code is available at: https://lnkd.in/egcbjxav #ComputerVision #OpenCV #Python #Innovation #AIProjects #Mediapipe

Built Logistic Regression from Scratch using NumPy! Implemented the sigmoid function, trained the model using gradient descent, and visualized the logistic curve for binary classification. This project helped me understand how logistic regression actually works under the hood without using ML libraries. 🔗 GitHub: https://lnkd.in/gnZ-g4aQ #MachineLearning #Python #NumPy #LogisticRegression #DataScience #LearningInPublic

Day 10 of #50DaysOfPython Today’s concept: Sum of digits of a number. A simple yet important problem to understand loops, arithmetic operations, and number manipulation in Python. Swipe through the slides to see the explanation, code, and output #50DaysOfPython #PythonLearning #CodingLife #LearnToCode

A quick #map #visualization in #Python cheat sheet on - and if you want to learn all of these (and a lot) more in Python, then: 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬 - 𝐒𝐞𝐜𝐨𝐧𝐝 𝐄𝐝𝐢𝐭𝐢𝐨𝐧 The book: https://lnkd.in/dy-7m_zz Sample: https://lnkd.in/dVP-Ty-Y Reviews: https://lnkd.in/dMii-cxX Overview: https://lnkd.in/d5anyYAU

Exploring clustering algorithms in Machine Learning! 📊 I recently implemented the **K-Medoids (PAM) clustering algorithm in Python** and visualized the clusters using Matplotlib. Unlike K-Means, K-Medoids selects actual data points as cluster centers, making it more robust to outliers. This small project helped me better understand how clustering works and how different algorithms group similar data points. Tools used: • Python • NumPy • Matplotlib Always exciting to turn theory into practical implementation! 🚀 #MachineLearning #DataScience #Python #Clustering #KMedoids #StudentProject

Longest Common Span with Equal Sum in Two Binary Arrays: Reduced the problem using a difference array + prefix sum + hashmap, converting it into a longest zero-sum subarray pattern. Time Complexity: O(n) Small optimizations. Stronger fundamentals. Consistency compounds. #geekstreak60 #npci #DataStructures #Algorithms #ProblemSolving #Python #CodingJourney

𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐏𝐲𝐭𝐡𝐨𝐧 𝐜𝐫𝐬 & 𝐠𝐞𝐨𝐜𝐨𝐝𝐢𝐧𝐠 - 𝐂𝐡𝐞𝐚𝐭 𝐬𝐡𝐞𝐞𝐭 A quick #geospatial #python cheat sheet on the very basics of map projection and geocoding. If you want to learn the whole story: 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥𝐬 - 𝐒𝐞𝐜𝐨𝐧𝐝 𝐄𝐝𝐢𝐭𝐢𝐨𝐧 The book: https://lnkd.in/dy-7m_zz Sample: https://lnkd.in/dVP-Ty-Y Reviews: https://lnkd.in/dMii-cxX Overview: https://lnkd.in/d5anyYAU

LeetCode #105 – Construct Binary Tree from Preorder and Inorder Traversal | Python Implementation I implemented a recursive divide-and-conquer approach that exploits traversal properties to rebuild the tree. Core Insight: Preorder gives root order, inorder gives left/right boundaries. Their intersection uniquely determines tree structure. Each recursive call isolates the correct subsequences for subtree reconstruction. Time: O(n²) due to slicing and index lookup | Space: O(n) recursion depth + slices #LeetCode #DataStructures #Python #BinaryTree #DivideAndConquer #TreeReconstruction #CodingInterview #SoftwareEngineering