2.7M
VI🧠 Sorting Algorithms Explained
🫧 Bubble Sort
Compare adjacent elements and swap until the list is sorted.
Simple to understand, slow for large data.
⏱ Time: O(n²) | 💡 Best for learning basics
✋ Insertion Sort
Builds the sorted array one element at a time.
Efficient for small or nearly sorted lists.
⏱ Time: O(n²) | ⚡ Great for small datasets
🎯 Selection Sort
Select the minimum element and place it at the correct position.
Easy logic, not efficient for large inputs.
⏱ Time: O(n²) | 📘 Good for understanding fundamentals
🔀 Merge Sort
Divide the array, sort each part, then merge.
Fast and reliable for large datasets.
⏱ Time: O(n log n) | 📌 Uses extra space
#BubbleSort #InsertionSort #SelectionSort #MergeSort #SortingAlgorithms #DSA #DSAConcepts #Algorithms #CodingLife #Programming #LearnToCode #CodeDaily #CodingReels #TechReels #TechEducation #ComputerScience 🚀
@visualcoders
