Python In Practice - 15 Projects to Master Python - Python Lists

The video tutorial introduces Python lists, explaining their ability to hold homogeneous or heterogeneous data types. It covers how to manipulate list elements through indexing and slicing, including accessing and modifying elements. The tutorial also demonstrates how to access sub-lists and combine multiple lists using the star operator for unpacking. The session concludes with a brief overview of sorting lists, which will be covered in the next lesson.

What types of data can a Python list contain?

• Only floating-point numbers

• Homogeneous or heterogeneous data types

• Only strings

• Only integers

How can you access an element in a Python list?

• Using curly braces and index

• Using square brackets and index

• Using angle brackets and index

• Using parentheses and index

What is the result of using a negative index in a list?

• It raises an error

• It returns an empty list

• It accesses elements from the end of the list

• It accesses elements from the beginning of the list

What does the star operator (*) do when used with lists?

• It sorts the list

• It reverses the list

• It unpacks the list elements into a single list

• It multiplies the list elements

How can you create a new list from two existing lists?

• By using the division (/) operator

• By using the modulus (%) operator

• By using the plus (+) operator

• By using the minus (-) operator

What is the purpose of slicing in Python lists?

• To delete elements from the list

• To access a range of elements from the list

• To add elements to the list

• To sort the list

What will be covered in the next lesson?

• List methods and built-in functions

• File handling in Python

• Error handling in Python

• Advanced string manipulation