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Python Lists
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mylist = ["apple", "banana", "cherry"]
ListLists are used to store multiple items in a single variable. Show Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are Tuple, Set, and Dictionary, all with different qualities and usage. Lists are created using square brackets: ExampleCreate a List:
thislist = ["apple", "banana", "cherry"]
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List ItemsList items are ordered, changeable, and allow duplicate values. List items are indexed, the first item has index [0], the second item has index [1] etc. OrderedWhen we say that lists are ordered, it means that the items have a defined order, and that order will not change. If you add new items to a list, the new items will be placed at the end of the list. Note: There are some list methods that will change the order, but in general: the order of the items will not change. ChangeableThe list is changeable, meaning that we can change, add, and remove items in a list after it has been created. Allow DuplicatesSince lists are indexed, lists can have items with the same value: ExampleLists allow duplicate values:
thislist = ["apple", "banana", "cherry", "apple", "cherry"]
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List LengthTo determine how many items a list has, use the len() function: ExamplePrint the number of items in the list:
thislist = ["apple", "banana", "cherry"]
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List Items - Data TypesList items can be of any data type: ExampleString, int and boolean data types:
list1 = ["apple", "banana", "cherry"]
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A list can contain different data types: ExampleA list with strings, integers and boolean values:
list1 = ["abc", 34, True, 40, "male"]
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type()From Python's perspective, lists are defined as objects with the data type 'list':
ExampleWhat is the data type of a list?
mylist = ["apple", "banana", "cherry"]
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The list() ConstructorIt is also possible to use the list() constructor when creating a new list. ExampleUsing the list() constructor to make a List:
thislist = list(("apple", "banana", "cherry")) # note the double round-brackets
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Python Collections (Arrays)There are four collection data types in the Python programming language:
*Set items are unchangeable, but you can remove and/or add items whenever you like. **As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered. When choosing a collection type, it is useful to understand the properties of that type. Choosing the right type for a particular data set could mean retention of meaning, and, it could mean an increase in efficiency or security.
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