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Difference Between List Tuple And Dictionary In Python

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Difference Between List Tuple And Dictionary In Python

distinguishing list, tuple, and dictionary in Python

Difference Between List Tuple And Dictionary In Python

In Python, a list is a mutable and ordered collection of elements, denoted by square brackets, that allows duplicates and can be modified after creation. A tuple, on the other hand, is an immutable and ordered collection of elements, denoted by parentheses, that also allows duplicates but cannot be modified after creation. A dictionary is an unordered collection of key-value pairs, denoted by curly braces, where each key is unique and associated with a corresponding value. Dictionaries are mutable and can be modified by adding, updating, or removing key-value pairs.

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1 - List:

  Lists are ordered collections of items which can be of any data type.

  They are mutable, meaning their elements can be changed or modified after creation.

  Lists are created using square brackets [].

2) Tuple:

  Tuples are also ordered collections of items but are immutable, meaning their elements cannot be changed after creation.

  Tuples are created using parentheses ().

  Tuples are often used when you want to store a set of values that should not be changed.

3) Dictionary:

  Dictionaries are unordered collections of key value pairs.

  Each key in a dictionary must be unique and immutable, typically strings or numbers.

  Values can be of any data type and can be changed.

  Dictionaries are created using curly braces {} with key value pairs separated by colons (:).

4) Training Program Offer:

If you are offering a training program to students, it is important to cover these differences in detail to help them understand when to use each data structure effectively. Learning how to work with lists, tuples, and dictionaries is essential for any Python programmer as they are frequently used in developing applications and working with data. The training program could include hands on exercises and examples to reinforce the concepts and provide practical experience in using these data structures.

 

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