#go #acm_icpc #algo #algorithm #algorithm_competitions #algorithms #algorithms_and_data_structures #dynamic_programming #facebook #golang #interview_questions #leetcode #leetcode_go #leetcode_golang #leetcode_solutions #math #pattern

https://github.com/halfrost/LeetCode-Go

#cplusplus #algorithms #machine_learning #machine_programming

https://github.com/IntelLabs/control-flag

#rust #algorithms #data_structures #hacktoberfest #rust_lang

https://github.com/TheAlgorithms/Rust

#python #acm_icpc #algorithm #algorithms #algorithms_and_data_structures #data_structure #data_structures #interviews #leetcode #leetcode_python #leetcode_solutions

https://github.com/itcharge/LeetCode-Py

#other #algorithms #algorithms_and_data_structures #breadth_first_search #coding_interviews #data_structures #depth_first_search #fastandslowpointers #javascript #leetcode #sliding_windows #two_pointers

https://github.com/Chanda-Abdul/Grokking-the-Coding-Interview-Patterns

#cplusplus #algorithms #cpp #leetcode

https://github.com/wisdompeak/LeetCode

#csharp #algorithms #gamedev #language #probabilistic_programming #procedural_generation #voxel

https://github.com/mxgmn/MarkovJunior

#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

#cplusplus #algorithms #algorithms_and_data_structures #coding_interviews #companies_list #data_structures #interview_ds_algo #leetcode

https://github.com/MAZHARMIK/Interview_DS_Algo

#go #algorithms #algorithms_implemented #community_driven #data_structures #datastructures #hacktoberfest #interview #interview_preparation #preparation #search #sorting

This repository provides a comprehensive collection of algorithms implemented in Go, covering a wide range of topics including sorting, searching, graph algorithms, cryptographic techniques, and more. Here’s the key benefit for users The repository serves as an excellent educational resource for learning various algorithms and data structures. It includes detailed implementations of many common and advanced algorithms, making it easier for developers to understand and implement these concepts in their own projects. **Open-Source and Community-Driven** The algorithms are implemented in a way that makes them easily integrable into real-world applications. Whether you need efficient sorting methods, cryptographic functions, or graph traversal algorithms, this repository provides ready-to-use solutions. Overall, this resource is invaluable for both beginners looking to learn about algorithms and experienced developers seeking efficient implementations for their projects.

https://github.com/TheAlgorithms/Go

#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

#other #algorithms #c #cpp #cs_books #database #interview #java #javascript #linux #os #pdf #python #redis #sql

## Computer Book Resource Collection

This is a rich collection of computer book resources, including over 1000 classic books. It covers many areas:

- Programming languages
- Data structures
- Algorithms
- Operating systems
- Networks
- Databases
- Machine learning
- Deep learning

### Overview of Resources

- Multiple languages: Tutorials and manuals from beginner to advanced levels.
- Special topics: Books on Spark, Hadoop, Kafka, TensorFlow, and more.
- For all levels: Suitable for beginners and experienced developers.
- Easy access: The collection is regularly updated with new books.
- Interview prep: Lots of interview questions and notes to help you prepare.

This collection is very comprehensive. It can help different types of learners. It's great for improving programming skills and preparing for technical interviews.

https://github.com/forthespada/CS-Books

#typescript #acm_icpc #acm_icpc_handbook #algorithms #competitive_programming #data_structures #hacktoberfest #icpc #icpc_handbook #icpc_training #oi #oi_handbook #oi_training

**OI Wiki** is a free and open resource for learning competitive programming. It provides organized knowledge on programming contests, including basic concepts, common question types, problem-solving strategies, and useful tools. This platform is constantly updated by a community of contributors who aim to make it comprehensive and helpful for beginners. By using **OI Wiki**, you can learn competitive programming more efficiently without spending a lot of time searching for scattered resources online. The content is freely available, non-commercial, and encourages community participation to improve its quality.

https://github.com/OI-wiki/OI-wiki

#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

#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

#other #algorithms #bioinformatics #computational_biology #computational_physics #computer_architecture #computer_science #computer_vision #database_systems #databases #deep_learning #embedded_systems #machine_learning #quantum_computing #reinforcement_learning #robotics #security #systems #web_development

This collection of computer science courses offers a wide range of topics, from introductory programming to advanced specialized fields like machine learning, blockchain, and quantum computing. Here’s a simple summary of the benefits You can learn various aspects of computer science, including programming, algorithms, data structures, computer systems, software engineering, artificial intelligence, machine learning, and more.
- **Diverse Resources** There are courses on specific areas such as blockchain development, quantum computing, computational finance, and robotics, which can help you specialize in your area of interest.
- **Practical Skills** Most of these resources are available online for free, making quality education accessible to everyone.

Overall, this collection is a valuable resource for anyone looking to learn or deepen their knowledge in computer science.

https://github.com/Developer-Y/cs-video-courses

#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

#rust #algorithms #data_structures #hacktoberfest #rust #rust_lang

This project provides a collection of algorithms implemented in the Rust programming language, which is great for learning and education. You can easily navigate through the list of algorithms in the directory and even contribute to the project by following the contribution guidelines. The project also has a community on Discord and Gitter for support and discussion, making it a valuable resource for anyone interested in coding and algorithms.

https://github.com/TheAlgorithms/Rust