Selenium Python Automation Testing from Scratch and Frameworks - Tuple and Dictionary Data Types in Python

The video tutorial covers Python data types, focusing on lists, tuples, and dictionaries. Lists are mutable, allowing changes, while tuples are immutable, meaning they cannot be altered once created. Dictionaries are introduced as key-value pairs, similar to hashmaps in Java. The tutorial also emphasizes the importance of coding standards and proper indentation in Python to avoid errors.

What is a key characteristic of a list in Python?

• It is immutable.

• It is mutable.

• It is always sorted.

• It is a key-value pair.

How does a tuple differ from a list in Python?

• A tuple is always sorted.

• A tuple is a key-value pair.

• A tuple is immutable.

• A tuple is mutable.

Which brackets are used to define a tuple in Python?

• Angle brackets <>

• Square brackets []

• Round brackets ()

• Curly brackets {}

What happens when you try to modify a tuple in Python?

• The tuple is deleted.

• An error is raised.

• The tuple is updated.

• The tuple is converted to a list.

What is a dictionary in Python?

• A collection of sorted items.

• A collection of key-value pairs.

• A collection of immutable items.

• A collection of ordered items.

Which brackets are used to define a dictionary in Python?

• Curly brackets {}

• Angle brackets <>

• Square brackets []

• Round brackets ()

In a dictionary, what must be true about the keys?

• Keys must be mutable.

• Keys must be integers.

• Keys must be strings.

• Keys must be unique.

What is the correct way to access a value in a dictionary?

• Using a list.

• Using an index number.

• Using a key.

• Using a tuple.

What is the importance of indentation in Python?

• It is required for the code to run correctly.

• It is used to declare variables.

• It is used to define data types.

• It is optional and only for readability.

When should you use double quotes in a dictionary?

• For all keys and values.

• Only for values.

• Only for integer keys.

• For string keys and values.