#other #algorithm #data_structures #interview #interview_questions #leetcode

https://github.com/arpit20adlakha/Data-Structure-Algorithms-LLD-HLD

#python #algorithm #algorithms #competitive_programming #data_structures #data_structures_and_algorithms #dp #dsa #dsalgo #dynamic_programming #faang #geeksforgeeks #hacktoberfest #interview_preparation #interview_questions #leetcode #leetcode_solutions #maang #problem_solving #python3

https://github.com/SamirPaul1/DSAlgo

#java #algorithm #computer_science #cs #data_structures #database #developer #interview #it #javascript #language #seminar #sql #tech #web

https://github.com/gyoogle/tech-interview-for-developer

#java #algo #algorithm #algorithms #book #data_structure #data_structures #data_structures_and_algorithms #dsa #education #leetcode #programming

This resource offers a free, beginner-friendly guide to data structures and algorithms with animated explanations and one-click runnable code. It supports multiple programming languages like Python, Java, C++, and more. The content is designed to be easy to understand, helping new learners explore these topics smoothly. You can read it online or download it as a PDF. The community encourages mutual learning and welcomes contributions to improve the content. This makes it an excellent tool for anyone looking to learn data structures and algorithms in a practical and engaging way.

https://github.com/krahets/hello-algo

#go #acm_icpc #algorithm #algorithms #codeforces #codeforces_go #codeforces_golang #codeforces_solutions #competitive_programming #data_structure #data_structures #go #golang #icpc #leetcode #leetcode_go #leetcode_golang

This resource is a comprehensive algorithm template library that helps you organize and learn various algorithms, data structures, and mathematical concepts. Here’s the benefit It categorizes algorithms into detailed sections, including introductions, code templates, and related problems, making it easier to study and practice.
- **Comprehensive Coverage** It provides links to useful resources, practice problems, and tools to help you improve your coding skills and stay healthy while studying.
- **Efficient Problem Solving**: The library includes tips on how to choose problems based on your skill level and how to test and debug your code efficiently.

Overall, this resource is designed to help you learn and practice algorithms systematically, making you more proficient in competitive programming.

https://github.com/EndlessCheng/codeforces-go

#other #algorithm #computer_science #cpp #interview #java #leetcode #python #system_design

This resource is a comprehensive collection of notes on various computer science topics, including algorithms, operating systems, networking, databases, Java, system design, and more. It provides detailed explanations and solutions to problems from platforms like LeetCode and剑指 Offer. The notes are well-organized and follow a clear formatting guide to ensure readability. The benefit to the user is that it serves as a one-stop resource for learning and reviewing key concepts in computer science, helping to improve coding skills and knowledge in a structured manner.

https://github.com/CyC2018/CS-Notes

#javascript #algorithm #algorithms #computer_science #data_structures #interview #interview_preparation #javascript #javascript_algorithms

This repository provides a comprehensive collection of JavaScript examples for various algorithms and data structures. It includes detailed explanations, links to further reading, and YouTube videos for each topic. You can learn about data structures like linked lists, trees, graphs, and more, as well as algorithms such as sorting, searching, and cryptographic methods. The repository is organized by topic and difficulty level (beginner or advanced), making it easy to navigate and learn. This resource is ideal for anyone looking to improve their understanding of algorithms and data structures in JavaScript, helping you become a better programmer by providing practical examples and explanations.

https://github.com/trekhleb/javascript-algorithms

#python #algorithm #algorithm_competitions #algorithms_implemented #algos #community_driven #education #hacktoberfest #interview #learn #practice #python #searches #sorting_algorithms #sorts

This project, "The Algorithms - Python," provides implementations of various algorithms in Python, mainly for educational purposes. It includes a wide range of algorithms that you can learn from, even though they might not be as efficient as those in the Python standard library. You can contribute to the project by following the contribution guidelines, and there are community channels on Discord and Gitter where you can ask questions and get help. This resource is beneficial because it helps you understand and learn different algorithms in a practical way, making it easier to improve your coding skills.

https://github.com/TheAlgorithms/Python

#typescript #algorithm #algorithm_interview #algorithm_interview_questions #algorithms #behavioral_interviews #coding_interviews #interview_practice #interview_preparation #interview_questions #system_design

The Tech Interview Handbook is a free resource that helps you prepare for technical interviews at tech companies. It includes curated materials like best practice questions, resume guides, behavioral questions, and algorithm cheatsheets. This handbook covers all phases of the interview process, from applying to negotiating an offer. It's designed for busy engineers and provides practical, condensed information to help you practice efficiently and land your dream job. Over a million people have already benefited from it.

https://github.com/yangshun/tech-interview-handbook

#other #algorithm #algorithms #coding_interview #coding_interviews #computer_science #data_structures #interview #interview_prep #interview_preparation #programming_interviews #software_engineering #study_plan

This study plan is designed to help you prepare for technical interviews at large software companies like Amazon, Facebook, Google, and Microsoft. Here’s the key information and benefits The plan covers a wide range of computer science topics, ensuring you are well-prepared for various types of technical interviews.
- **Practical Application** The plan advises on how to focus your study time effectively, avoiding unnecessary details and emphasizing retention techniques like flashcards.
- **Career Advancement**: By following this plan, you can gain the skills and confidence needed to secure a job as a software engineer at top tech companies.

Overall, this study plan is a structured approach to learning and practicing computer science fundamentals, making it easier to prepare for and succeed in technical interviews.

https://github.com/jwasham/coding-interview-university