BASIC-13 数列排序

1. Introduction

Basic-13 is a set of 13 coding challenges designed to help beginners practice and improve their programming skills. In this article, we will focus on one of the challenges from Basic-13, which is sorting a sequence of numbers.

2. Problem Description

Given a sequence of numbers, we need to sort them in ascending order. The sorting algorithm we will use is called "Bubble Sort". Bubble Sort repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. This process is repeated until the entire list is sorted.

3. Implementation

3.1. Bubble Sort Algorithm

Here is the Python implementation of the Bubble Sort algorithm:

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

In the above code, we have a nested loop. The outer loop iterates through each element of the list, while the inner loop compares adjacent elements and swaps them if they are in the wrong order. This process is repeated until the entire list is sorted.

3.2. Sorting a Sequence of Numbers

To sort a sequence of numbers using the Bubble Sort algorithm, we need to call the "bubble_sort" function with the sequence as an argument. Here is an example:

numbers = [5, 2, 8, 1, 9, 3]
sorted_numbers = bubble_sort(numbers)
print(sorted_numbers)

The output of the above code will be: [1, 2, 3, 5, 8, 9]. The sequence of numbers is sorted in ascending order.

4. Discussion

The Bubble Sort algorithm is not the most efficient sorting algorithm, especially for large lists. Its time complexity is O(n^2), where n is the number of elements in the list. However, it is easy to understand and implement, which makes it suitable for small lists or educational purposes.

5. Conclusion

In this article, we have discussed the Basic-13 coding challenge of sorting a sequence of numbers. We have used the Bubble Sort algorithm to sort the numbers in ascending order. The implementation and usage of the algorithm were explained, along with a discussion of its efficiency.