Machine Learning: Random Forest with Python from Scratch - Introduction to Data Types

The video introduces six data types in Python: numbers, strings, lists, dictionaries, tuples, and sets. It categorizes them into mutable and immutable types, explaining the differences and providing examples. Mutable types like lists, dictionaries, and sets can be changed after creation, while immutable types like numbers, strings, and tuples cannot. The video discusses use cases for each type, suggesting when to use mutable or immutable data. It concludes with a preview of the next lecture, which will focus on practicing with numbers in Jupyter Notebook.

Which of the following is a mutable data type in Python?

• String

• Tuple

• List

• Number

What is a key characteristic of mutable data types?

• They are always faster than immutable types.

• They can be changed after creation.

• They cannot be changed after creation.

• They are used for static data.

Which of the following is NOT an immutable data type?

• Dictionary

• Tuple

• Number

• String

Why would you choose an immutable data type?

• To ensure data is always sorted.

• To improve performance in all cases.

• For static data that should not change.

• For data that changes frequently.

Which example best illustrates the use of a mutable data type?

• A person's age that updates yearly.

• A fixed set of instructions.

• A constant value like pi.

• A list of company names that never change.