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Disclaimer:This course makes use of artificial intelligence (AI) tools to support explanations, examples, and content generation. All AI-assisted material has been carefully reviewed for accuracy and quality.Note: All the course content has been created entirely by me without using AI content generation. I only used Text-to-Speech (TTS) technology to convert my written material into clear audio for better sound quality.
Disclaimer:This course makes use of artificial intelligence (AI) tools to support explanations, examples, and content generation. All AI-assisted material has been carefully reviewed for accuracy and quality.Note: All the course content has been created entirely by me without using AI content generation. I only used Text-to-Speech (TTS) technology to convert my written material into clear audio for better sound quality.
Data structures are at the heart of computer science and software development. They determine how efficiently we can store, access, and process information. If you want to improve your coding skills, prepare for technical interviews, or build a strong foundation for advanced fields like Data Science and AI, this course is designed for you.
In Master Data Structures with Hands-on Python, we take a practical approach to learning. You won’t just watch theory—you’ll implement each data structure from scratch in Python, understand how it works behind the scenes, and learn when to use it in real-world applications.
We’ll start with linear structures such as arrays, lists, stacks, queues, and deques. Then, we’ll dive into more complex topics like linked lists (singly, doubly, and circular). You’ll also gain a deep understanding of hash-based structures including hash tables, hash sets, hash maps, and Python dictionaries. Finally, we’ll explore non-linear structures such as trees and graphs, which are essential for advanced problem solving.
Every section comes with hands-on coding exercises, clear explanations, and practical examples. By the end of the course, you will:
Master essential data structures in Python.
Gain confidence in solving algorithmic challenges.
Be well-prepared for coding interviews.
Build a solid foundation for advanced fields in tech.
Whether you’re a university student, aspiring software engineer, or self-learner, this course will help you unlock the power of data structures and take your coding skills to the next level.
This video is an introduction to stacks in computer science.
It explains the basic idea of a stack using a cup and balls as an example, showing how the Last In, First Out (LIFO) rule works. The lesson also connects stacks to real-life uses like Undo and Redo in software.
Then, it demonstrates how to implement a stack in Python using a list, covering the main operations:
Push (add an item)
Pop (remove the last item)
Peek (look at the top item)
isEmpty (check if the stack is empty)
Size (count items)
Finally, the video explains why stacks are important, showing how they are used in function calls, algorithms, and everyday applications.
This quiz will test your understanding of the basic concepts of data structures. You’ll answer multiple-choice questions that cover:
- The main purpose of using data structures in programming
- Real-life examples that represent data structures
- The key benefits of applying data structures
- Python’s built-in data structures and their uses
The quiz is designed to reinforce what you learned in the introduction video and text lectures. It will help you check your knowledge before moving on to more advanced topics.
This video introduces arrays, one of the most basic but important data structures.
It explains what arrays are, their key properties like fixed size, same type elements, and fast access by index, and shows a real-life analogy with lockers.
You’ll also see how to use arrays in Python (with lists) through simple operations:
Create an array
Access elements by index
Update values
Search for an item
Delete elements
Finally, the video explains why arrays matter — they’re fast, predictable, and the foundation for other data structures like stacks and queues.
This quiz tests your knowledge of arrays and Python lists.
It covers key points such as indexing, dynamic arrays in Python, time complexity of access, and basic array operations.
This video introduces stacks, a powerful data structure based on the Last In, First Out (LIFO) principle.
It explains stacks with a simple example (a cup of balls) and shows their key operations: push, pop, peek, isEmpty, and size.
You’ll also see real-life applications, like Undo/Redo, and learn how to implement stacks in Python using lists.
Finally, the video highlights why stacks are important in computer science, from function calls to algorithms like backtracking and depth-first search.
This quiz checks your understanding of stacks in computer science.
It covers the LIFO principle, basic operations like push and pop, Python list methods, and real-life examples such as a stack of plates.
This simple exercise tests the understanding of stack operations in Python using a list.
A stack works on the LIFO principle (Last In, First Out), meaning the last element added is the first one to be removed.
The learner is asked to:
Push a new action into the stack.
Pop the last action to simulate an undo operation.
Peek at the current top action without removing it.
Check the size of the stack using len().
It is a beginner-friendly problem that connects stack data structures to a real-world example: undo/redo functionality in text editors.
This video introduces queues, a data structure that follows the First In, First Out (FIFO) principle.
It explains how queues work with real-life examples like supermarket lines and printer queues, then shows the main operations: enqueue, dequeue, peek, rear, isEmpty, and size.
You’ll also learn how to implement queues in Python using lists, step by step, and see why queues are so important in computing — from task scheduling and customer service systems to graph algorithms (BFS) and message queues.
This quiz checks your understanding of queues.
It covers the FIFO principle, basic operations like enqueue and dequeue, how queues are implemented in Python, and real-life examples.
This video introduces Singly Linked Lists. It explains what a linked list is, how it stores data in nodes with pointers, and why it’s more flexible than arrays. A train analogy is used to make it easy to understand. Then, a Python example shows how to create nodes, append elements, and display the list. Finally, it compares arrays with linked lists and concludes that linked lists are dynamic and efficient for insertion and deletion, forming the base for advanced structures like doubly and circular linked lists.
This quiz tests your understanding of singly linked lists—their structure, limitations, and key concepts like nodes and the head. It also includes a coding task where you build and display a linked list in Python to practice creating nodes, linking them, and printing the list as a chain.
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