Understand and Implement data structures from absolute scratch in python. Learn about computational complexity.
You’ll learn about the most important and basic data structures that every veteran programmer knows about in detail. By the end of the course, you’ll be able to implement these from absolute scratch.
The course is designed to help the students write their own code. Each module has explanation parts and implementation parts, you’re encouraged to implement an explained topic on your own.
Data Structures covered in the course.
- Singly Linked Lists
- Doubly Linked Lists
- Stacks
- Queues
- Binary Search Trees
- Graphs
- Computational Complexity
Algorithms
- Reversing a linked list
- Recursive and iterative tree traversal
- Breadth First Search
- Depth First Search
Analysis
- Big O notation
Who is this course for?
Many people learn programming and are told to learn data structures and algorithms to pass coding interviews and get jobs. This course is designed for an individual who has some python programming knowledge and wants to get better at it by learning data structures. Even if you have no python experience but know some other programming language, this can be a great chance to learn python. For people who don’t know python, this provides programming problems to get better at python.
How the course is designed
The course is designed with 7 major modules. We go from installing python, to setting up jupyter notebook to understanding and implementing data structures from scratch. We also visualize computational complexity of different operations we write for these data structures in the final section on computational complexity.
