Data Structures for Absolute Beginners in Python

COURSE AUTHOR –
Abdul Rauf

Last Updated on March 15, 2023 by GeeksGod

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 ListsDoubly Linked ListsStacks QueuesBinary Search TreesGraphsComputational Complexity

Algorithms

Reversing a linked listRecursive and iterative tree traversalBreadth First SearchDepth 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.

What will you get out of it

Better understanding of data structures.More tools at your disposal for solving programming problems.Ability to implement data structures from scratch in python.Opportunity to practice python.

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What you will learn :

1. Understand the most important data structures
2. Implement Data structures from scratch in python
3. Analyze algorithms using the big O notation
4. Reverse a linked list
5. Understand and implement stacks, queues, trees, linked lists and graphs from scratch

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