HTML tutorial
CSS3 tutorial
Bootstrap tutorial
JavaScript tutorial
JQuery tutorial
AngularJS tutorial
React tutorial
NodeJS tutorial
PHP tutorial
Python tutorial
Python3 tutorial
Django tutorial
Linux tutorial
Docker tutorial
Ruby tutorial
Java tutorial
C tutorial
C ++ tutorial
Perl tutorial
JSP tutorial
Lua tutorial
Scala tutorial
Go tutorial
ASP.NET tutorial
C # tutorial
Sets are used to store multiple items in a single variable
Sets are used to store multiple items in a single variable.
Set is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Tuple, and Dictionary, all with different qualities and usage.
A set is a collection which is unordered, unchangeable*, and unindexed.
* Note: Set items are unchangeable, but you can remove items and add new items.
Sets are written with curly brackets.
Create a Set:
thisset = {"apple", "banana", "cherry"}
print(thisset)
Note: Sets are unordered, so you cannot be sure in which order the items will appear.
Set items are unordered, unchangeable, and do not allow duplicate values.
Unordered means that the items in a set do not have a defined order.
Set items can appear in a different order every time you use them, and cannot be referred to by index or key.
Set items are unchangeable, meaning that we cannot change the items after the set has been created.
Once a set is created, you cannot change its items, but you can remove items and add new items.
Sets cannot have two items with the same value.
Duplicate values will be ignored:
thisset = {"apple", "banana", "cherry", "apple"}
print(thisset)
To determine how many items a set has, use the len()
function.
Get the number of items in a set:
thisset = {"apple", "banana", "cherry"}
print(len(thisset))
Set items can be of any data type:
String, int and boolean data types:
set1 = {"apple", "banana", "cherry"}
set2 = {1, 5, 7, 9, 3}
set3 = {True, False, False}
A set can contain different data types:
A set with strings, integers and boolean values:
set1 = {"abc", 34, True, 40, "male"}
From Python's perspective, sets are defined as objects with the data type 'set':
<class 'set'>
What is the data type of a set?
myset = {"apple", "banana", "cherry"}
print(type(myset))
It is also possible to use the set() constructor to make a set.
Using the set() constructor to make a set:
thisset = set(("apple", "banana", "cherry")) # note the double round-brackets
print(thisset)
There are four collection data types in the Python programming language:
*Set items are unchangeable, but you can remove items and add new items.
**As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered.
When choosing a collection type, it is useful to understand the properties of that type. Choosing the right type for a particular data set could mean retention of meaning, and, it could mean an increase in efficiency or security.