Python Bootcamp in a Day - Python Programming for Beginners - Sets

The video tutorial explains the use of Python sets to handle unique values in data processing. It covers cleaning and correcting data, specifically focusing on medal types and year values. The tutorial demonstrates how to replace abbreviations with full words and correct year entries. It also highlights the use of sets to avoid duplicates and ensure data accuracy. The video concludes with a script for validating data before proceeding to the next chapter.

What is a key difference between a set and a list in Python?

• Sets can contain duplicate values.

• Lists are unordered collections.

• Sets only contain unique values.

• Lists cannot be indexed.

Why might you use a set to store metal types in a dataset?

• To store metal types in a specific order.

• To sort the metal types alphabetically.

• To ensure each metal type is stored only once.

• To allow duplicate entries.

What method is used to add an item to a set in Python?

• .extend()

• .add()

• .insert()

• .append()

How do Python sets behave similarly to mathematical sets?

• They allow duplicate values.

• They require elements to be of the same type.

• They maintain the order of elements.

• They can calculate union, intersection, and difference.

What should be done if a metal type is abbreviated in the dataset?

• Remove it from the dataset.

• Convert it to lowercase.

• Replace it with the complete word.

• Leave it as it is.

How can you correct a year value that is missing the century?

• Leave it unchanged.

• Add 2000 to the year.

• Subtract 100 from the year.

• Add 100 to the year.

What should you do if you find that countries and disciplines are correct in the dataset?

• Convert them to uppercase.

• Remove them from the dataset.

• Leave them unchanged.

• Recheck them for errors.