#other #java #math #algorithms #competitive_programming #data_structures #interview_preparation

https://github.com/kunal-kushwaha/DSA-Bootcamp-Java

#rust #search_engine #machine_learning #algorithm #neural_network #high_performance #artificial_intelligence #simd #data_structures #image_search #recommender_system #approximate_nearest_neighbor_search #similarity_search #k_nearest_neighbors #hnsw #vector_search

https://github.com/hora-search/hora

#cplusplus #translation #algorithms #competitive_programming #data_structures #algorithm_competitions #programming_competitions #programming_contests #learning_materials #competitive_programming_contests #algorithms_and_data_structures

https://github.com/e-maxx-eng/e-maxx-eng

#javascript #data_structures #front_end_development #frontend #fullstack #webdevelopment

https://github.com/cheatsheet1999/FrontEndCollection

#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

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

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

#javascript #c #c_sharp #codinasion #codinasion_project #cpp #data_structures_and_algorithms #dsa #dsa_algorithm #go #hacktoberfest #hacktoberfest_accepted #hacktoberfest2022 #java #julia #kotlin #python #typescript

https://github.com/codinasion/program

#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

#python #cross_modal #data_structures #dataclass #deep_learning #docarray #elasticsearch #graphql #multi_modal #multimodal #nearest_neighbor_search #nested_data #neural_search #protobuf #qdrant #semantic_search #sqlite #unstructured_data #vector_search #weaviate

https://github.com/docarray/docarray

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

https://github.com/MAZHARMIK/Interview_DS_Algo

#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

#python #ai #data #data_structures #database #long_term_memory #machine_learning #ml #mlops #mongodb #pytorch #scikit_learn #sklearn #torch #transformers #vector_search

https://github.com/SuperDuperDB/superduperdb

#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

#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

#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