Learning to understand selection sort

TrustyTony 0 Tallied Votes 209 Views Share

By coding algorithm and using some liberal prints with small set of data, you can learn to understand the basic algorithms better than just reading about them.

Here simple selection sort.

""" demonstrating simple selection sort with prints"""

data = [64, 25, 12, 25, 22, 11, 62]

for current in range(len(data)-1):
    min_value_index = current
    print('Sorted: %s, Checking: %s' % (data[:current],data[current:]))
    for index, d in enumerate(data[current:], current):
        if data[min_value_index] > d:
            min_value_index = index
    if min_value_index != current:
        data[current], data[min_value_index] = data[min_value_index], data[current]
    else:
        print('No swap needed')

print('\nReady result:')
print(data)
TrustyTony 888 ex-Moderator Team Colleague Featured Poster

OK, if you put one print more you can find a stupid thing I do. Up vote for first one to spot it.

TrustyTony 888 ex-Moderator Team Colleague Featured Poster
""" demonstrating simple selection sort with prints"""

data = [64, 25, 12, 25, 22, 11, 62]

for current in range(len(data)-1):
    min_value_index = current
    print('Sorted: %s, Checking: %s' % (data[:current],data[current:]))
    # min_value_index = current, does not need to check that -> + 1
    for index, d in enumerate(data[current + 1:], current + 1):
        #print(index, min_value_index)
        if data[min_value_index] > d:
            min_value_index = index
    if min_value_index != current:
        data[current], data[min_value_index] = data[min_value_index], data[current]
    else:
        print('No swap needed')

print('\nReady result:')
print(data)
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