Editor

Editing — 7. Lists and Tuples

Learning Objectives
<ul>
<li>Understand the characteristics and uses of Python lists and tuples.</li>
<li>Describe and differentiate Python lists' mutability and dynamic nature.</li>
<li>Manipulate and access data in Python lists and tuples.</li>
<li>Perform operations and access elements of lists and tuples using indexing and slicing.</li>
<li>Utilize list comprehensions and sorting to create lists with custom parameters.</li>
<li>Implement practical applications using Python lists and tuples by writing programs for collecting and calculating data using list and tuple operations.</li>
</ul>
Python lists and tuples are fundamental data structures that allow you to store collections of items. Lists are mutable, meaning you can change their contents by adding, removing, or modifying elements. This flexibility makes lists ideal for situations where the data set might change over time.
On the other hand, tuples are immutable, so once they are created, their contents cannot be altered. This immutability provides a layer of data integrity, ensuring that the data remains constant throughout the program's execution.
Both lists and tuples can store heterogeneous data types, such as integers, strings, and other objects, offering versatility in handling complex data. Lists are typically used when the order of items and the ability to modify the collection are important, while tuples are preferred for read-only data, where stability and hashability are required.