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comprehending data

Let’s see what happens to your data when each of Python’s sorting options is used. Start by creating an unordered
list at the IDLE shell:

>>> data = [6, 3, 1, 2, 4, 5] Create a list of
>>> data unordered data and
[6, 3, 1, 2, 4, 5] assign to a variable.

Perform an in-place sort using the sort() method that is built in as standard to every Python list:

>>> data.sort() Perform IN-PLACE sorting on the data.
>>> data
[1, 2, 3, 4, 5, 6] The data’s ordering has changed.

Reset data to its original unordered state, and then perform a copied sort using the sorted() BIF:
>>> data = [6, 3, 1, 2, 4, 5]
>>> data The data’s ordering has been reset.
[6, 3, 1, 2, 4, 5]
>>> data2 = sorted(data)
Perform COPIED sorting on the data.
>>> data
[6, 3, 1, 2, 4, 5] Same as it ever was.
>>> data2
from lowest to highest.
[1, 2, 3, 4, 5, 6] The copied data is ordered

Either sorting option works with the coach’s data, but let’s use a
copied sort for now to arrange to sort the data on output. In the
space below, provide four amended print() statements to
replace those at the bottom of your program.

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