Python Data Structures: Sets and Frozen Sets

Course details

In this course, instructor Mridu Bhatnagar takes you through the basics of using Python sets and frozen sets. If you’re in the early stages of your Python programming career, or if you just need a refresher, join Mridu as she discusses the basic mechanics and functions of these data structures. Mridu gives a high-level overview of sets and frozen sets and then dives into the various methods to work with them. She discusses use cases and topics like how to modify a set and use built-in functions. Mridu also provides challenge and solution videos to test your knowledge as you go along. If you’re looking to learn important aspects about sets and frozen sets in Python, without jumping into a long project-based course, Mridu’s course is for you.

Concepts

0. Introduction

01 - Why use sets and frozen sets
02 - What you should know
03 - How to use CoderPad

1. Introduction to Sets

04 - Introduction to sets
05 - Defining a set and common pitfalls while initializing a set
06 - Immutable and mutable
07 - Hashable and iterable
08 - Solution - Remove multiple occurrence

2. Set Operations

09 - Set membership
10 - Iterating through a set
11 - Set comprehension
12 - Solution - Student course registration

3. Operators and Methods

13 - Understand set theory with an example
14 - Find all the elements present in different sets
15 - Find the common elements present between the sets
16 - Determine the difference between two sets
17 - Determine the symmetric difference between two sets
18 - Determine whether two sets have any common elements
19 - Determine whether one set is a subset of another
20 - Determine whether one set is a superset of another
21 - Solution - List unregistered students

4. Modifying a Set

22 - Add an element to a set
23 - Add multiple elements with the update() method
24 - Remove an element from a set
25 - Remove an element from a set using discard()
26 - Using pop() to remove and return an element from a set
27 - Clearing all elements from a set
28 - Solution - Filter by the first character

5. Using Built-In Functions

29 - Using length to find the number of items in a set
30 - Find the largest element in the set
31 - Find the smallest element in the set
32 - Sort all the elements in the set
33 - Find the sum of all elements in a set
34 - Solution - Most popular course

6. Frozen Sets

35 - Introduction to frozen sets
36 - Why frozen sets
37 - Creating frozen sets
38 - Solution - Composite key search

7. Sets and Frozen Sets Internals

39 - What is a hash table
40 - Finding the Index in the hash table
41 - How do sets work under the hood

8. Pros and Cons

42 - Sets vs. other Python data structures

9. Application Ideas

43 - Solution - Invoice value computation

Conclusion

44 - Next steps