Learn how to implement popular data structures and algorithms in our next Python project with hands-on examples.

Python for Programmers

Data structures and algorithms are among the most fundamental concepts of computer science. This module is a detailed review of some of the most common data structures and algorithms, such as stack, linked lists, doubly linked lists, binary trees, binary search trees, and so on. With implementation details, thorough explanations, and hands-on coding exercises, we’ll gain the confidence to solve any problem related to our project.

Data Structures and Algorithms in Python

## Problem
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`. 

Let's have a look at some examples:

# Problem
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`. 

Let's have a look at some examples:

Challenge yourself with an exercise in which you'll have to return the largest integer whose square is less than or equal to the given integer.

Built-in Data Structures

Stack

Singly Linked Lists

Circular Linked Lists

Doubly Linked Lists

Arrays

Binary Trees

Binary Search Trees

Binary Search

Recursion

String Processing

Conclusion

Exercise: Integer Square Root

Problem