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Python lists are commonly used to store data types. Lists are a collection of information typically called a container. Think of a physical container that can hold all kinds of objects, not just one object of the same type. Python includes a built-in list type called a list. They can be managed by many built-in functions that help fill, iterate over, add to, and delete a list. Why is it useful to store information with different data types?

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Manetho

Answer:

Explained

Explanation:

Data Type specifies the processor how much amount of memory to be reserved for  a variable.

For example :If a variable is declared as String or Integer this tells the processor  to stored this much of space for this variable to store the value.

List :

1.List is sort of an array used to store values of different data types

2.Lists are ordered .Element in the list are elements in a list are indexed according to a definite sequence and placed at a specific index.Lists can hold different data types.

Here is an example of List ,List = ['a', 1,'b',4,[a,b,c,1]

1. Dictionary is an dis ordered collection of data values, used to store data values .

2.Dictionary is for key,value maps , Keys of a Dictionary are (should be ) unique and of immutable data type such as Strings, Integers and tuples.

Dict = {1: 'Apple', 2: 'Boy', 3:'God',4:[1, 2, 3, 4]}

Each unique key holds a value.  So it depends on the requirement or scenarios where we have to chose between list or dictionary

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