7m · 6min read

Queues are a basic data structure in computer science, characterized by their ability to store and manage elements in a specific order. The term "queue" is derived from the real-world concept of a line or queue, where the first element to enter is the first one to leave, adhering to the First-In-First-Out (FIFO) principle.

8m · 4min read

A stack is a linear data structure that follows the Last In First Out (LIFO) principle, meaning the last element added to the stack will be the first one to be removed. This concept can be likened to a stack of plates; you add a plate to the top of the stack, and when you need to remove a plate, you take it from the top as well. The last plate you add will also be the first one you remove.

9m · 7min read

Two common types of data types are primitive types and abstract data types. While primitive types are basic building blocks of a programming language, abstract data types provide a more complex structure that encapsulates data and operations

9m · 5min read

What is Hashing? Hashing is a process that converts an input (often referred to as a key) into a fixed-size string of characters, using a specific algorithm known as a hash function

10m · 3min read

Manipulating arrays in JavaScript is a common task for any developer. JavaScript provides a plethora of methods for performing operations on arrays, ranging from adding and removing elements to iterating over and transforming array contents.

10m · 3min read

Arrays are a foundational data structure in computer science. They are simple and efficient, and form the basis for more complex structures. An array is a collection of elements that are of the same data type and stored in contiguous memory locations.

10m · 3min read

Heaps are a specialized tree-based data structure that fall under the category of priority queues. They are an essential concept in computer science and are utilized in various algorithms, particularly those related to sorting and graph processing.

11m · 4min read

A linked list is a linear data structure where each element is a separate object. Each element (node) of a list consists of two items: the data and a reference to the next node.