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 investigate how to count the occurrence of nodes with a specified data element. We will consider how one may solve this problem in both an iterative and recursive manner, and we will code the solution to both of these approaches in Python.

As an example, have a look at the illustration below where we have a linked list with the following elements:

```
1 - 1 - 2 - 1
```
You can see that the number of occurrences of `1` in the linked list is `3`. 

In this lesson, we will learn how to count occurrences​ of a data element in a linked list. 

Introduction

Stack

Singly Linked Lists

Circular Linked Lists

Doubly Linked Lists

Arrays

Binary Trees

Binary Search Trees

Binary Search

Recursion

String Processing

Count Occurrences