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

In this lesson, we will review the solution to the problem in the last exercise. Let's go over the problem statement once again:

 Given an array of numbers consisting of daily stock prices, calculate the maximum amount of profit that can be made from buying on one day and selling on another day.

We consider two approaches to this problem. In the first, we consider a brute force approach that solves the problem in $O(N^2)$, where $N$ is the size of the array of numbers. We then improve upon this solution to take our solution to a time complexity of $O(N)$.

# Solution 1: Brute Force 

## Implementation
 

This lesson contains the solution review for the challenge of finding the maximum profit generated by buying and selling stocks!


Introduction

Stack

Singly Linked Lists

Circular Linked Lists

Doubly Linked Lists

Arrays

Binary Trees

Binary Search Trees

Binary Search

Recursion

String Processing

Solution Review: Buy and Sell Stock