Understanding time and space complexity is fundamental in analyzing the efficiency of algorithms. Below we will explore the concepts of time and space complexity, their common notations, and provide examples in C++ to illustrate these concepts. Why d...
Data Structures are the building blocks of any program. Here's a suggested order to learn them: Data Structures to Practice: 1. Arrays and Strings Find the maximum sum of a subarray: https://leetcode.com/problems/maximum-subarray/ Reverse a string:...
Hello Reader 👋 By the time you are reading these lines, thousands of codebases will get updated or restructured and deployed globally. Have you ever thought why? But first thing first, this blog's meme is 🥁🥁 Well, one answer could be technology l...
I am thrilled to share my insights into space and time complexity. This journey has been all about optimizing algorithms and understanding their efficiency. Space Complexity: Space complexity refers to the amount of memory used by an algorithm durin...
As programmers, we often face challenges that require writing efficient code to solve complex problems. When dealing with large amounts of data or computationally intensive tasks, the efficiency of our algorithms can significantly impact the performa...
