The Ultimate Guide to Python Programming With Python 3.10 - Dictionaries or Hash-Tables

The video tutorial explains hash tables, also known as lookup tables, and their role in memory storage. It covers the concept of hashing, which involves compressing values for easier storage. The tutorial discusses hashable data types in Python, such as integers, floats, and tuples, which can be used as dictionary keys. It also demonstrates how to create dictionaries using both curly braces and the dictionary class, highlighting the flexibility of Python's dictionary creation methods.

What is the primary purpose of hashing in the context of storing key-value pairs?

• To encrypt the data for security

• To compress the value for easier storage

• To make the value human-readable

• To convert the value into a string

Which of the following data types can be used as a dictionary key in Python?

• Set

• List

• Tuple

• Dictionary

Why is it possible to use a tuple as a dictionary key in Python?

• Because tuples are always integers

• Because tuples are hashable

• Because tuples are always strings

• Because tuples are mutable

What is one advantage of using the dictionary class with keyword arguments to create a dictionary?

• It eliminates the need to use strings for keys

• It allows for duplicate keys

• It automatically sorts the keys

• It requires less memory

In Python, what is not required for a dictionary value?

• To be an integer

• To be a string

• To be unique

• To be hashable