Files

1.7 KiB

id, source_exercise_id, title, section, source_path, source_repo, source_commit, student_visible_solution, has_private_solution, skip
id source_exercise_id title section source_path source_repo source_commit student_visible_solution has_private_solution skip
practical-python-1.25 1.25 Lists of anything 1.5 Lists 01_Introduction/05_Lists.md https://github.com/dabeaz-course/practical-python 93dca856b41c61a0a0f85ae334116e4c125629ea false false false

Exercise 1.25: Lists of anything

Source: Practical Python Programming, 01_Introduction/05_Lists.md.

Exercise 1.25: Lists of anything

Lists can contain any kind of object, including other lists (e.g., nested lists). Try this out:

>>> nums = [101, 102, 103]
>>> items = ['spam', symlist, nums]
>>> items
['spam', ['YHOO', 'RHT', 'HPQ', 'GOOG', 'AIG', 'AAPL', 'AA'], [101, 102, 103]]

Pay close attention to the above output. items is a list with three elements. The first element is a string, but the other two elements are lists.

You can access items in the nested lists by using multiple indexing operations.

>>> items[0]
'spam'
>>> items[0][0]
's'
>>> items[1]
['YHOO', 'RHT', 'HPQ', 'GOOG', 'AIG', 'AAPL', 'AA']
>>> items[1][1]
'RHT'
>>> items[1][1][2]
'T'
>>> items[2]
[101, 102, 103]
>>> items[2][1]
102
>>>

Even though it is technically possible to make very complicated list structures, as a general rule, you want to keep things simple. Usually lists hold items that are all the same kind of value. For example, a list that consists entirely of numbers or a list of text strings. Mixing different kinds of data together in the same list is often a good way to make your head explode so it's best avoided.

Contents | Previous (1.4 Strings) | Next (1.6 Files)

关联来源