Practical Data Science using Python - Python Variables and Conditions

The video tutorial covers Python's built-in variables and data types, including integers, floats, booleans, and strings. It explains Python's dynamic typing and how variables can change types based on assigned values. The tutorial also discusses various operators, such as arithmetic and comparison operators, and delves into conditional statements, highlighting the importance of syntax and indentation in Python.

Which of the following is NOT a built-in data type in Python?

• Boolean

• Character

• Float

• Integer

What is a key characteristic of Python's dynamic typing?

• Variables must be declared before use

• Variables cannot change type once assigned

• Variables can change type based on the assigned value

• Variables must be declared with a type

In Python, what does the '+' operator do when used with strings?

• Adds the ASCII values of the characters

• Concatenates the strings

• Multiplies the strings

• Divides the strings

What is the result of the expression 5 % 2 in Python?

• 2

• 5

• 1

• 0

What is the purpose of indentation in Python?

• To align code with comments

• To separate different functions

• To define the scope of loops and conditions

• To improve code readability

What will the following code print? if True: print('A') else: print('B')

• None

• AB

• B

• A

Which of the following is a comparison operator in Python?

• =

• ||

• ==

• &&

Which keyword is used in Python to check multiple conditions in sequence?

• elif

• else

• elseif

• endif

How does Python handle the 'and' operator in conditions?

• It checks if conditions are false

• It checks if all conditions are true

• It checks if at least one condition is true

• It checks if no conditions are true

What will the following code output? X = 5 if X: print('True') else: print('False')

• False

• True

• None

• Error