Practical Data Science using Python - Python Lists

The video tutorial introduces collection objects in Python, focusing on lists. It explains the properties of lists, including their ability to hold multiple data types and their mutability. The tutorial covers list indexing, slicing, and striding, and demonstrates how to add and remove elements using various methods like append, extend, pop, and remove. The differences between lists and other collection objects like tuples, dictionaries, and sets are also discussed.

What are collection objects in Python and how do they differ from singleton variables?

Explain the differences between lists, tuples, dictionaries, and sets.

How can you access elements in a list using indexing?

What does it mean for a list to be mutable?

Describe how to create a list in Python.

Explain how slicing works in lists.

What is striding in the context of list slicing?

What is the purpose of the append method in lists?

How can you remove an element from a list using the pop method?

What is the difference between the pop and remove methods in lists?