PCL-20: Python DICTIONARY Data Structures | Questions Practice | Python Tutorial For Beginners 🔥🔥🔥

Published: 26 February 2022
on channel: Data Science by Bhupendra Singh
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What is a Python dictionary?
Dictionaries are Python's implementation of a data structure that is more generally known as an associative array. A dictionary consists of a collection of key-value pairs. Each key-value pair maps the key to its associated value.

Why do we use Python dictionary?
Dictionaries are used to store data values in key:value pairs. A dictionary is a collection which is ordered*, changeable and do not allow duplicates. As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered.

What is the difference between a list and a dictionary in Python?
A list is an ordered sequence of objects, whereas dictionaries are unordered sets. However, the main difference is that items in dictionaries are accessed via keys and not via their position. ... The values of a dictionary can be any type of Python data. So, dictionaries are unordered key-value-pairs.

What is array in Python?
A Python Array is a collection of common type of data structures having elements with same data type. It is used to store collections of data. In Python programming, an arrays are handled by the “array” module. If you create arrays using the array module, elements of the array must be of the same numeric type.

Is dictionary faster than list Python?
A dictionary is 6.6 times faster than a list when we lookup in 100 items.

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