We start learning about lists Data Structure in Python and how it can be used for Data Analysis. We learn the syntax of lists, then we see different operations to use lists like indexing, and type checking. Then we move to list Manipulations (updating and deleting elements from a list) and list iterations (how to iterate through a list). This video is a part of Machine Learning & Artificial Intelligence Fundamentals course.
Timestamps:
00:00 - Introduction.
00:19 - Understanding Lists:
We will try to understand what are lists in Python, and how we can use them to perform Data Analysis. Here we talking about Syntax, definition, and Application.
01:36 - List Operations:
We see different operations that we use can perform on lists. Including type check, Indexing, etc.
04:49 - Update:
Here we learn about different operations like append, extend, concatenation, and repetition using which we can update the lists.
07:24 - Delete:
Here we learn about deleting a single value or a range of values or an entire list.
07:41 - Internal working:
Understanding how Lists are created in the memory. What happens when we equate lists, or how to create a new reference variable.
09:53 - Iteration:
Here we study how we iterate over a list. We will look at the famous "for" loop and the "in" keyword. We also study list comprehensions.
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