{"id":908,"date":"2024-09-15T15:00:53","date_gmt":"2024-09-15T15:00:53","guid":{"rendered":"https:\/\/www.zframez.com\/articles\/?p=908"},"modified":"2024-10-16T15:55:57","modified_gmt":"2024-10-16T15:55:57","slug":"chapter-8-python-lists-and-tuples-operations-and-methods","status":"publish","type":"post","link":"https:\/\/www.zframez.com\/articles\/python-tutorials\/chapter-8-python-lists-and-tuples-operations-and-methods","title":{"rendered":"Chapter 8: Python Lists and Tuples -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 Lists and Tuples in Python<\/strong><\/h1>\n\n\n\n

In this chapter, we\u2019ll explore two important data structures in Python: lists and tuples. Lists allow you to store a collection of items that can be modified, while tuples are immutable, meaning their elements cannot be changed. In this chapter, you\u2019ll learn about basic list operations like slicing, appending, and removing elements, as well as useful list methods like count()<\/code>, sort()<\/code>, and reverse()<\/code>. We\u2019ll also cover tuples and their key features, such as concatenation and indexing. By the end of this chapter, you should have a solid understanding of how to work with lists and tuples in Python.<\/p>\n\n\n\n

Basic List Operations in Python<\/strong><\/h2>\n\n\n\n
a = [10, 20, 30, 40, 50, 60, 70, 80, 90]\nprint(len(a))       # 9\nprint(min(a))       # 10\nprint(max(a))       # 90\nprint(a + [100, 110, 120])  # [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]\nprint(a[0])         # 10\na[0] = 15\nprint(a)            # [15, 20, 30, 40, 50, 60, 70, 80, 90]\ndel a[2]\nprint(a)            # [15, 20, 40, 50, 60, 70, 80, 90]\n<\/code><\/pre>\n\n\n\n
Explanation<\/strong>:<\/p>\n\n\n\n