{"id":910,"date":"2024-09-15T15:38:51","date_gmt":"2024-09-15T15:38:51","guid":{"rendered":"https:\/\/www.zframez.com\/articles\/?p=910"},"modified":"2024-10-16T15:57:27","modified_gmt":"2024-10-16T15:57:27","slug":"chapter-9-python-dictionaries-operations-and-methods","status":"publish","type":"post","link":"https:\/\/www.zframez.com\/articles\/python-tutorials\/chapter-9-python-dictionaries-operations-and-methods","title":{"rendered":"Chapter 9: Python Dictionaries – Operations and Methods"},"content":{"rendered":"\n
\n \n \u25c0 Previous<\/a>\n <\/span>\n \n \n Python Tutorials<\/a>\n <\/span>\n \n \n Next \u25b6<\/a>\n <\/span>\n<\/div>\n\n\n\n\n

Working with Dictionaries in Python<\/strong><\/h1>\n\n\n\n

In Chapter 9, we\u2019ll explore Python dictionaries, a data structure where each value is indexed using a key. Unlike lists, which use numerical indices, dictionaries allow you to use descriptive keys, making them more flexible for storing and accessing data. This concept is similar to what other programming languages call associative arrays or hash maps. In this chapter, we\u2019ll go over different ways to create dictionaries, how to add and remove key-value pairs, and useful dictionary methods like get()<\/code>, keys()<\/code>, and values()<\/code>. We\u2019ll also look at how to create two-dimensional dictionaries using lists, nested dictionaries, and the defaultdict<\/code> class from the collections module.<\/p>\n\n\n\n

Different Ways of Creating a Dictionary<\/strong><\/h2>\n\n\n\n
a = {'joe': 85, 'peter': 88, 'jack': 90}\nb = dict(joe=90, peter=85, jack=88)\nc = dict([('joe', 90), ('peter', 85), ('jack', 95)])  # Using a list of tuples\n\nprint(a)             # {'joe': 85, 'peter': 88, 'jack': 90}\nprint(type(a))       # <class 'dict'>\nprint(len(a))        # 3\n<\/code><\/pre>\n\n\n\n
Explanation<\/strong>:<\/p>\n\n\n\n