This repository serves as a platform for the implementation and documentation of various data structures and algorithms.

The aim is to gain thorough undersnading of data structures and algorithm in javascript for efficient peoblem solving.

Data manipulation, a fundamental aspect of coding, revolves around managing values and their relationships. Data structures offer different ways of organizing data in computers, categorizing into primitive and non-primitive types.

Understanding the efficiency of algorithms involves assessing time and space complexities, crucial measures in determining their performance.

Memory is likened to a canvas, finite and organized into bytes, each with a unique address. Memory blocks streamline data storage, aiding in efficient access and management.

Variables storing memory addresses of other variables facilitate efficient data access in computers.

Expressing algorithm runtime growth concerning input size helps gauge their efficiency. Different O notations categorize runtimes relative to input growth rates.

In simplifying Big O expressions, focus lies on the fastest-growing term as input size increases, disregarding less significant terms and coefficients.