Prompt
def bubble_sort(arr):
n = len(arr)
for i in range(n):
for j in range(0, n-i-1):
if arr[j] > arr[j+1]:
arr[j], arr[j+1] = arr[j+1], arr[j]
return arr
arr = [64, 34, 25, 12, 22, 11, 90]
sorted_arr = bubble_sort(arr)
print("Sorted array is:", sorted_arr)
Answer
Problem Analysis
The user needs a data structure that efficiently handles sorting data using the Bubble Sort algorithm. Bubble Sort is a simple comparison-based algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. As the algorithm progresses, smaller elements 'bubble' to the top of the list.
Data Structure Selection
Based on the requirements of sorting elements using comparisons, an array is a suitable data structure. Arrays provide direct access to elements via their index and allow swapping of elements efficiently, which aligns with the operations involved in the Bubble Sort algorithm.
Template Generation
Array Template
Language-Agnostic Template:
1. Initialize an array with elements to be sorted.
2. Implement the Bubble Sort algorithm:
- Iterate through the array comparing adjacent elements and swapping if necessary.
- Repeat the above step for each element in the array.
3. Return the sorted array.
Example:
arr = [64, 34, 25, 12, 22, 11, 90]
Bubble Sort Algorithm Template
Language-Agnostic Template:
function bubble_sort(arr):
n = length(arr)
for i in range(n):
for j in range(0, n-i-1):
if arr[j] > arr[j+1]:
swap(arr[j], arr[j+1])
return arr
Description and Documentation
Array:
- Description: An array is a data structure that stores elements of the same data type contiguously in memory. It allows direct access to elements via indices, making it suitable for implementing sorting algorithms like Bubble Sort efficiently.
- Rationale: Arrays provide constant-time access to elements, enabling quick comparisons and swaps needed in the Bubble Sort algorithm.
Bubble Sort Algorithm:
- Description: Bubble Sort is a simple comparison-based sorting algorithm that repeatedly compares adjacent elements and swaps them if they are in the wrong order.
- Rationale: Bubble Sort is suitable for small datasets where simplicity and ease of implementation are prioritized, as in this case.
By using arrays and the Bubble Sort algorithm, the user can efficiently sort data while maintaining simplicity and ease of implementation.
Description
Utilize arrays and the Bubble Sort algorithm for efficient sorting of data items through comparisons and element swapping.