LeetCode Solutions Time & Memory Complexity analyzer + Kazakhstan LeetCode community Support

[+] Data structures and algorithms is the most important topic in Computer Science. So, now learning for improving my problem solving skills also to become a better developer!

Time and space complexity are terms used in computer science to analyze the efficiency of algorithms. Time Complexity measures the amount of time an algorithm takes to complete as a function of the input size. Space Complexity quantifies the amount of memory space an algorithm uses in relation to the input size.

Solving a Problem [less Time and Space complexity]

LeetCode solutions with Dart programming laungage, including explanations, A valuable resource for coding interview preparation and improving problem-solving skills with Dart.

Program that simulates sorting arrays with multiple threads and different algorithms

Algorithms and Data Structures

A playground for practicing Data structure and Algorithm.

This is a collection of the LeetCode problems I have solved

Computer Science Algorithms

Functions, concepts, and STL related to C++, Algorithms, Object-Oriented Programming, Memory allocation, etc.

9 Fibonacci Algorithms

This Repository contain Data Structure and Algorthims related material, problems and their solution in Java Programming Language

Python solution which uses min-heap data structure and thread parallalism to process very large file

Daily Coding Challenges from codewars.com to sharpen problem solving skills.

This repository provides a comprehensive roadmap for learning Data Structures and Algorithms (DSA)📊 from the ground up. It covers essential topics required for ☉ competitive programming, 📗 technical interviews, and real-world ✔ software development.

In this Cheat Sheet I have store every Searching and Sorting algorithms Time and Space Complexities.

This repository includes all the practice problems and assignments which I've solved during the Data Structures and Algorithms in Python Programming.

My notes on EPAM Python Core course.

Code samples for Big O notation, Data Structures and Algorithms that constitute the basics of understanding coding principles.