5. Data Structures — Python 3.14.7 documentation

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5.1. More on Lists¶

The list data type has some more methods. Here are all of the methods of list objects:

Time complexity of operations on built-in types

To implement a queue, use collections.deque which was designed to have fast appends and pops from both ends. For example:

5.1.2. Using Lists as Queues¶

To implement a queue, use collections.deque which was designed to have fast appends and pops from both ends. For example:

5.1.3. List Comprehensions¶

List comprehensions provide a concise way to create lists. Common applications are to make new lists where each element is the result of some operations applied to each member of another sequence or iterable, or to creat

5.1.4. Nested List Comprehensions¶

The initial expression in a list comprehension can be any arbitrary expression, including another list comprehension.

5.2. The del statement¶

There is a way to remove an item from a list given its index instead of its value: the del statement. This differs from the pop() method which returns a value. The del statement can also be used to remove slices from a l

5.3. Tuples and Sequences¶

We saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types — list, tuple, range). Since Python is an evolving lang

5.5. Dictionaries¶

It is best to think of a dictionary as a set of key: value pairs, with the requirement that the keys are unique (within one dictionary). A pair of braces creates an empty dictionary: {}. Placing a comma-separated list of

5.5. Dictionaries¶

It is best to think of a dictionary as a set of key: value pairs, with the requirement that the keys are unique (within one dictionary). A pair of braces creates an empty dictionary: {}. Placing a comma-separated list of

5.7. More on Conditions¶

The conditions used in while and if statements can contain any operators, not just comparisons.