Using lists to store data is an example of a data abstraction. Reflect on the earlier exercises - ones with lists and ones without - and respond to the following questions.How does the use of data abstraction manage complexity in program code?How does using lists make a program easier to develop and maintain?

Managing Complexity in Program Code: Data abstraction is a powerful tool for managing complexity in program code. It allows us to hide the details of how data is represented and manipulated, and instead focus on what the data represents. This means we can work with more complex data structures without getting bogged down in the details of how they are implemented. For example, when we use a list, we don't need to worry about how the list is stored in memory, or how the computer keeps track of the start and end of the list. We can just focus on what we want to do with the list - add items, remove items, sort the items, etc.

Easier Development and Maintenance: Using lists (or other data abstractions) can make a program easier to develop and maintain for several reasons. Firstly, it allows us to write more concise and readable code. Instead of having to write complex loops to process data, we can often use simple, high-level operations provided by the list abstraction. Secondly, it makes our code more modular and reusable. If we write a function that operates on a list, we can use that function with any list, regardless of what it contains or how large it is. Finally, it makes our code more robust and easier to debug. If there is a problem with how we are manipulating a list, the issue is likely to be with our code, not with the list implementation.