L 25: SETS IN PYTHON | SET OPERATIONS IN PYTHON | PYTHON COURSE FOR BEGINNERS

A set is an unordered collection of items. Every set element is unique (no duplicates) and must be immutable (cannot be changed).
However, a set itself is mutable. We can add or remove items from it.
Sets can also be used to perform mathematical set operations like union, intersection, symmetric difference, etc.

Creating Python Sets:
A set is created by placing all the items (elements) inside curly braces {}, separated by comma, or by using the built-in set() function.
It can have any number of items and they may be of different types (integer, float, tuple, string etc.). But a set cannot have mutable elements like lists, sets or dictionaries as its elements.

Creating an empty set is a bit tricky:
Empty curly braces {} will make an empty dictionary in Python. To make a set without any elements, we use the set() function without any argument.

Modifying a set in Python:
Sets are mutable. However, since they are unordered, indexing has no meaning.
We cannot access or change an element of a set using indexing or slicing. Set data type does not support it.
We can add a single element using the add() method, and multiple elements using the update() method. The update() method can take tuples, lists, strings or other sets as its argument. In all cases, duplicates are avoided.

Removing elements from a set:
A particular item can be removed from a set using the methods discard() and remove().
The only difference between the two is that the discard() function leaves a set unchanged if the element is not present in the set. On the other hand, the remove() function will raise an error in such a condition (if element is not present in the set).
#python #set #parnikatutorials
00:00 - Introduction
00:24 What is a set
01:53 Creation of set
03:56 Length of a set
03:50 Displaying elements in a set
05:20 Adding elements in a set
07:29 Removing elements in a set
10:44 Set operations
13:44 Implementation in Jupyter Notebook
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