Conclusion: Working with Nested Lists

Nested lists (or lists of lists) are incredibly useful when dealing with tabular data — like rows and columns in a spreadsheet. In this chapter, we learned how to:

• Create and access nested lists.
• Use loops to iterate through rows and elements.
• Apply nested for loops to explore data structures with multiple layers.
• Add new columns to rows based on calculated or conditional values.

Understanding nested lists lays the foundation for working with more complex data in Python, such as:

• Data from CSV files
• APIs and JSON structures
• Basic database-like operations
• And even popular data science tools like pandas!

As you progress, your ability to loop through and manipulate structured data like this will become one of your strongest Python skills.

What's Next?

In the next chapter, we’ll explore Conditions and while Loops to help your programs make decisions and perform repetitive actions based on conditions.

Quick Recap

• A nested list is a list of lists.
• You can access rows using for row in list_name.
• You can access individual elements using row[index].
• Adding new columns is done by using .append() inside the loop.

Keep practicing and experimenting. Try building your own data tables and applying logic to analyze or transform them.

You're doing great — onward to conditions and while loops!