Algorithms | CS | Data Science on Instagram: "Explanation down below 👇 The logic is simple: it compares two items at a time and swaps them if they're in the wrong order. The largest elements "bubble up" to the end with each full pass. It's an "in-place" sort, so it doesn't require extra memory. But it's slow! Its worst and average time complexity is O(n2) (O n squared) because of the nested loop. The only best case is O(n) (O n), and that's if the list is already sorted and you use a special fl
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Algorithms | CS | Data Science on Instagram: "Explanation down bel…
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kreggscode on Instagram: "7 Sorting algorithms part -2 Continuation of part-1, 7 Sorting algorithms"
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kreggscode on Instagram: "Sorting algorithms, all in one go! 🤯🔥 From Bubble Sort’s steady pace to Quick Sort’s rapid fire, every algorithm falls into place. Which one’s your favorite? Share your thoughts in the comments below 👇 #Sorting #Algorithms #meme #DataScience #ComputerScience #memereels #reelsviral #kreggscode"
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kreggscode on Instagram: "Sorting algorithms, all in one go! 🤯🔥 From B…
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Code With Brain on Instagram: "Day 11/30 | DSA | Bubble Sort 📌 Bubble Sort is one of the simplest sorting algorithms! --- 🔍 How it Works: 1️⃣ Traverse the array from start to end. 2️⃣ Compare each pair of adjacent elements. 3️⃣ Swap them if they are in the wrong order. 4️⃣ Repeat until the array is sorted. 🔁 With each pass, the largest element "bubbles" to the end! --- ⚙️ Time Complexity: Worst Case: O(n²) Best Case (Sorted): O(n) Space: O(1) --- 👨‍💻 Java Code: void bubbleSort(int arr[]) {
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