Discover data structures and algorithms using Python. Gain insights into solving real-world problems and typical interview questions with detailed reviews, explanations, and hands-on coding exercises.

Data structures and algorithms are among the most fundamental concepts of Computer Science. Whether it’s real-world problems you’re trying to solve or the typical coding question asked in an interview, almost every problem requires you to demonstrate a deep understanding of data structures and algorithms. 

This course is a detailed review of some of the most common data structures and algorithms that you’ll see in interviews and your everyday work. With implementation details, thorough explanations, and hands-on coding exercises, you’ll quickly gain the confidence you need to solve any problem, no matter the situation.

Data Structures and Algorithms in Python

# Problem
You are required to check and determine whether a tree satisfies the BST property. First of all, let's define the BST property. 

## BST Property

The BST property states that every node on the right subtree has to be larger than the current node, and every node on the left subtree has to be smaller than the current node. 

The binary search tree property (BST property) is a global property that every binary search tree must satisfy.

Below are some examples that show which trees satisfy the BST property:

Challenge yourself with an exercise in which you'll have to check the BST property for a Binary Search Tree!

Introduction

Stack

Singly Linked Lists

Circular Linked Lists

Doubly Linked Lists

Arrays

Binary Trees

Binary Search Trees

Binary Search

Recursion

String Processing

Exercise: Checking the BST property

Problem #