http://ghafoorsblog.com/categories/data-structures/Recent content in Data-Structures on Ghafoor's Personal BlogHugoennoreply@example.com (AG Sayyed)noreply@example.com (AG Sayyed)Copyright © 2024-2026 AG Sayyed. All Rights Reserved.Sat, 16 May 2026 17:37:05 +0100http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/02-module/004-module-summary/Sun, 08 Dec 2024 16:54:36 +0000noreply@example.com (AG Sayyed)http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/02-module/004-module-summary/<p class="lead text-primary"> This document summarizes the essential concepts of Python data structures, including tuples, lists, dictionaries, and sets. It covers their properties, operations, indexing, slicing, and manipulation techniques for effective data science applications. </p> <hr> <h2 id="module-summary">Module Summary</h2> <h3 id="tuples">Tuples</h3> <p>Tuples are ordered, immutable collections defined with parentheses <code>()</code>. They can contain mixed data types and support both positive and negative indexing for element access. Operations such as concatenation and slicing are available, but any modification requires creating a new tuple. Tuples can be nested for complex data structures, and elements in nested tuples are accessed through multi-level indexing.</p>