Beginning Python (Video 15)

This video tutorial covers the basics of 2D arrays in Python, including how to create and manipulate them. It explains how to query elements within a 2D array and highlights the importance of using the pretty print function for better readability. The tutorial also addresses issues related to array references and demonstrates how to use copy functions to avoid unintended changes. By the end of the video, viewers will understand how to work with 2D arrays and the significance of copying arrays to prevent bugs.

What is a 2D array in Python?

• A function that prints arrays

• A single list of elements

• An array containing only numbers

• An array of arrays

How do you access an element in a 2D array?

• By using the element's value

• By using the array's length

• By using two indices: one for the row and one for the column

• By using a single index

How can you make a 2D array more readable when printed?

• By printing each element separately

• By converting it to a string

• By using the pretty print function

• By using the traditional print function

What happens when you modify an element in a referenced array?

• All references to the array change

• Only the modified element changes

• The array is deleted

• The array becomes immutable

Why is it important to use the copy function with arrays?

• To increase the speed of the program

• To prevent changes in one array from affecting others

• To make arrays immutable

• To reduce memory usage

What is the difference between copy and deep copy?

• Copy is used for strings, deep copy for numbers

• Deep copy uses less memory

• Copy is faster than deep copy

• Copy is for simple lists, deep copy is for nested structures

What is the purpose of using deep copy?

• To sort an array

• To delete elements from an array

• To copy complex objects with nested structures

• To copy simple data types