Name: Algorithms and Data Structures Overview
Rating: 4 (1 reviews)

Algorithms and Data Structures Overview

The understanding of data structures and algorithms: this is what sets advanced professionals apart from the rest. In the modern world of growing data…もっと表示

90 人の学習者

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中級者向けコース

4 モジュール

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23 章

AIアシスタント

21 課題

共有可能な証明書

成果

コース内容

学習内容

Understand the core concepts of data structures and their necessity in managing large datasets.

Explore graphs, binary search trees (BSTs), and techniques to traverse these structures efficiently.

Grasp the fundamentals of algorithms, including how to analyze and gauge their complexity using Big-O notation.

Recognize different data structures like arrays, linked lists, stacks, queues, and hash tables along with their operation complexities.

コース内容

The understanding of data structures and algorithms: this is what sets advanced professionals apart from the rest. In the modern world of growing data, it is very important to be able to proc…

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

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

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

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

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