{"id":75163,"date":"2020-01-14T10:50:04","date_gmt":"2020-01-14T05:20:04","guid":{"rendered":"https:\/\/techvidvan.com\/tutorials\/?p=75163"},"modified":"2020-01-14T10:50:04","modified_gmt":"2020-01-14T05:20:04","slug":"python-collections","status":"publish","type":"post","link":"https:\/\/techvidvan.com\/tutorials\/python-collections\/","title":{"rendered":"Python Collections – The unordered and unindexed data structures"},"content":{"rendered":"

Today we are going to learn about Python Collections. These include sets<\/strong> and dictionaries<\/strong>.<\/p>\n

So let\u2019s get started.<\/p>\n

Python Collections<\/h3>\n

Unlike sequences, Python collections do not<\/strong> have any order<\/strong>. They are unordered<\/strong> and unindexed<\/strong> data structures. This means that it is not necessary<\/strong> to get the order in which we insert items<\/strong>.<\/p>\n

Types of Python Collections\"python<\/a><\/h3>\n

Python collections consist of Set<\/strong> and Dictionary<\/strong>.<\/p>\n

Python Sets<\/h4>\n

The sets data structure in Python is inspired by the mathematical sets concept<\/strong>. A set is a collection of distinct<\/strong> elements<\/strong>, so we don\u2019t have any duplicates<\/strong> in a set.<\/p>\n

We can declare a set by separating values with commas<\/strong> inside curly braces {}<\/strong> or by using the set() function<\/strong>. To create an empty set<\/strong>, you must use set()<\/strong>.<\/p>\n

Code:<\/strong><\/p>\n

setA = {1,2,3,4,5,4}\nsetB = set({10,20,30,20,30})\nsetC = set()\n\nprint(setA)\nprint(setB)\nprint(setC)<\/pre>\n
Output:<\/strong><\/p>\n
{1,2,3,4,5}
\n{10,20,30}
\nset()<\/div>\n
Sets is a mutable<\/strong> data structure so you can add<\/strong>, update<\/strong>, or remove elements<\/strong> from the set. But a set cannot contain lists<\/strong>, dictionary<\/strong> or sets<\/strong>.<\/p>\n
Code:<\/strong><\/p>\n
setA = {1,4,5,2}\nsetA.remove(5)\nsetA.add(3)\nprint( setA)<\/pre>\n
Output:<\/strong><\/p>\n
{1,2,3,4}<\/div>\n
Python Dictionary<\/h4>\n
Python dictionaries are an unordered<\/strong> collection of objects that holds value<\/strong> in a key-value structure. The key should be unique<\/strong> and must be an immutable<\/strong> object like a number<\/strong>, strings<\/strong>, and tuples<\/strong>. The values can be any Python object.<\/p>\n
We can declare the Python dictionary in two ways<\/strong>.<\/p>\n
Code:<\/strong><\/p>\n
dict1 = { 1: \u201dOne\u201d, 2: \u201dTwo\u201d, 3: \u201dThree\u201d}\n\ndict2 = dict()\ndict2[1] = \u201cOne\u201d\ndict2[2] = \u201cTwo\u201d\ndict2[3] = \u201cThree\u201d\n\nprint(dict1)\nprint(dict2)<\/pre>\n
Output:<\/strong><\/p>\n
{1: ‘One’, 2: ‘Two’, 3: ‘Three’}
\n{1: ‘One’, 2: ‘Two’, 3: ‘Three’}<\/div>\n
The main purpose of a dictionary is to map unique keys<\/strong> with a value so that retrieving information<\/strong> is optimized when we know the key.<\/p>\n
Dictionaries are mutable<\/strong> and we can simply add new key-value pairs<\/strong> in the dictionary by assigning<\/strong> them.<\/p>\n
Code:<\/strong><\/p>\n
d = {\u201cShrangi\u201d: [1, \u201cPCM\u201d], \u201cAkshay\u201d: [2,\u201dPCB\u201d], \u201cHimanshu\u201d: [3, \u201cArts\u201d]}\nd[\u201cAyushi\u201d] = [4,\u201dCommerce\u201d]\nprint(d)<\/pre>\n
Output:<\/strong><\/p>\n
{‘Shrangi’: [1, ‘PCM’], ‘Akshay’: [2, ‘PCB’], ‘Himanshu’: [3, ‘Arts’]}
\n{‘Shrangi’: [1, ‘PCM’], ‘Akshay’: [2, ‘PCB’], ‘Himanshu’: [3, ‘Arts’], ‘Ayushi’: [4, ‘Commerce’]}<\/div>\n
Summary<\/h3>\n
In today\u2019s article, we have learned about Collections in Python<\/strong>. We saw the different types of collections, that is, sets<\/strong> and dictionaries<\/strong>. They do not have any specific ordering<\/strong> of elements<\/strong>.<\/p>\n
We understood the purpose of each of these data structures<\/strong> and then saw examples of them.<\/p>\n","protected":false},"excerpt":{"rendered":"
Today we are going to learn about Python Collections. These include sets and dictionaries. So let\u2019s get started. Python Collections Unlike sequences, Python collections do not have any order. They are unordered and unindexed...<\/p>\n","protected":false},"author":1,"featured_media":75498,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1053],"tags":[1301,1196,1302,1164,1303,1282,1283,1304],"class_list":["post-75163","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-collections-in-python","tag-dictionaries-in-python","tag-python-collections","tag-python-dictionaries","tag-python-dictionary","tag-python-sets","tag-sets-in-python","tag-types-of-python-collections"],"yoast_head":"\nPython Collections - The unordered and unindexed data structures - TechVidvan<\/title>\n<meta name=\"description\" content=\"Python collections is the unordered and unindexed data structures in Python which includes two types, that is, Python sets & dictionaries. 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