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

First of all, let's repeat the problem statement. 

You are required to write a function that takes a non-negative integer, `k`, and returns the largest integer whose square is less than or equal to the specified integer `k`. 
## Algorithm 

The naive approach to solve this problem is to start from `1` and check the square of every number up until `k`. Have a look at the slides below:

First of all, let's repeat the problem statement. 

You are required to write a function that takes a non-negative integer, `k`, and returns the largest integer whose square is less than or equal to the specified integer `k`. 
# Algorithm 

The naive approach to solve this problem is to start from `1` and check the square of every number up until `k`. Have a look at the slides below:

This lesson contains the solution review for the challenge to find the largest integer whose square is less than or equal to the given integer.

Introduction

Stack

Singly Linked Lists

Circular Linked Lists

Doubly Linked Lists

Arrays

Binary Trees

Binary Search Trees

Binary Search

Recursion

String Processing

Solution Review: Integer Square Root

Algorithm #