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What Native Data Structures Can You Name in Python?

What Native Data Structures Can You Name in Python?

Asked On2019-06-06 14:54:13 by:gokilapriya

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A list and a dictionary in Python are essentially different types of data structures. Lists are the most common data types that boast significant flexibility. Lists can be used to store a sequence of objects that are mutable (so they can be modified after they are created).

However, they have to be stored in a particular order that can be indexed into the list or iterated over it (and it can also take some time to apply iterations on list objects).

For example:

>>> a = [1,2,3]

>>> a[2]=4

>>> a

[1, 2, 4]

In Python, you can’t use a list as a “key” for the dictionary (technically you can hash the list first via your own custom hash functions and use that as a key). A Python dictionary is fundamentally an unordered collection of key-value pairs. It’s a perfect tool to work with an enormous amount of data since dictionaries are optimized for retrieving data (but you have to know the key to retrieve its value).

It can also be described as the implementation of a hashtable and as a key-value store. In this scenario, you can quickly look up anything by its key, but since it’s unordered, it will demand that keys are hashes. When you work with Python, dictionaries are defined within curly braces {} where each item will be a pair in the form key:value.

Answerd on:2019-06-06 Answerd By:gokilapriya


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