Queues

Algorithms and Data Structures Overview

1. Introduction to ADS

When we start learning something new, it is very important to get familiar with the subject of our study first. So let's dive deeper into what we will learn about in this course.

Why Do We Need Algorithms and Data Structures

Why Do We Need Data Structures?

Algorithm Analysis

Big-O Notation

Challenge: How to Determine Algorithm Complexity

2. List and Array

Arrays and lists serve as foundational data structures in programming, with Python employing them extensively. This section provides an overview of these structures, delving into their concepts and highlighting their implementation nuances within the Python programming language.

Array Data Structure

Basic Array Operations Time Complexity

Challenge: Inserting Elements into the Array

Linked List Data Structure

Basic List Operations Time Complexity

Challenge: Inversing the Order of Elements in the List

Doubly Linked List

3. Advanced Data Structures

There are many applied tasks in which it is necessary to operate with large amounts of structured data and simple data structures such as an array or a linked list may no longer be enough for these purposes. In this section, we'll look at the concept of an abstract data type and how different ADTs allow us to efficiently manage large amounts of data.

Stacks

Queues

Challenge: Using Stack to Find Palindrome

Hash Table

Challenge: Creating Hash Table with String Keys

4. Graphs

In the real world, one often has to deal with tasks in which it is necessary to model complex dependencies between various nodes of a system or domain. Graphs can help us with this. In this section, we will learn what a graph is and how to represent it in computer memory efficiently.

What is Graph

Graph Implementation

Challenge: Graph Traversal Algorithms

BST

BST Traversal

Challenge: Balanced Trees

In contrast to stack, queues operate on a FIFO (First In, First Out) basis. Therefore, the first item inserted into a queue will be the first item removed. It means that for queues, we can manipulate only the first item exclusively. The queue data structure behavior resembles the queue in real life.

Queue implementation

Queue is also an abstract data type. As well as stack, queue also defines two basic operations, insertion and deletion, which are implemented in two basic methods:

enqueue() - inserts an element into an end of a queue;
dequeue() - removes a first element from a queue.

The queue abstract data type can be implemented with the help of both the array or linked list data structure.

Basic operations time complexity

Method	Array Implementation	Doubly Linked List Implementation
enqueue()	O(1)	O(1)
dequeue()	O(1)	O(1)

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Зміст курсу

Algorithms and Data Structures Overview

Queues

Queue implementation

Queue is also an abstract data type. As well as stack, queue also defines two basic operations, insertion and deletion, which are implemented in two basic methods:

enqueue() - inserts an element into an end of a queue;
dequeue() - removes a first element from a queue.

The queue abstract data type can be implemented with the help of both the array or linked list data structure.

Basic operations time complexity

Method	Array Implementation	Doubly Linked List Implementation
enqueue()	O(1)	O(1)
dequeue()	O(1)	O(1)

Все було зрозуміло?

Секція 3. Розділ 2