#other #algorithm #algorithms #array #bit_manipulation #complexity #data_structures #dynamic_programming #graph #greedy_algorithms #hashtable #heap #interview_practice #java #linked_list #math #queue #recursion #sorting_algorithms #stack #tree

https://github.com/teivah/algodeck

#java #algorithm #careercup #coding_interview #coding_interviews #data_structures #geeksforgeeks #glassdoor #hacktoberfest_2019 #hacktoberfest2018 #hacktoberfest2019 #interview_practice #interview_prep #interview_preparation #interview_questions

https://github.com/rishabh115/Interview-Questions

#cplusplus #algorithm #cpp #cpp11 #data_structure #interview_practice #interview_preparation #interview_questions #leetcode #leetcode_cpp #leetcode_solutions #modern_cpp #python

https://github.com/kamyu104/LeetCode-Solutions

#scss #app #challenge #coding_challenges #interview #interview_practice #interviews #javascript #react #react_coding_challenges #reactjs

https://github.com/alexgurr/react-coding-challenges

#jupyter_notebook #ai #deep_learning #interview #interview_practice #interview_preparation #interviews #machine_learning #machine_learning_algorithms #scalable_applications #system_design

https://github.com/alirezadir/machine-learning-interview-enlightener

#python #design #design_patterns #design_system #development #interview #interview_practice #interview_questions #programming #python #system #web #web_application #webapp

This guide helps you learn how to design large-scale systems and prepare for system design interviews. Here are the key points The guide provides an organized collection of resources on system design principles, including video lectures, articles, and practice interview questions.
- **Interview Preparation** The guide covers various system design topics like performance vs scalability, latency vs throughput, availability vs consistency (CAP theorem), caching, load balancing, reverse proxies, database design (SQL and NoSQL), and communication protocols (HTTP, TCP, UDP).
- **Tools and Techniques** The guide includes real-world architectures from companies like Google, Facebook, Twitter, and others to help understand how these principles are applied in practice.
- **Contributing**: It encourages contributions to improve and expand the content.

Using this guide, you can become a better engineer by learning how to build scalable systems and prepare effectively for technical interviews.

https://github.com/donnemartin/system-design-primer

#java #awesome #design_patterns #interview #interview_practice #interview_questions #lld #low_level_design #machine_coding #object_oriented_programming #oops #solid_principles #uml

This resource helps you learn Low Level Design (LLD) and Object Oriented Design (OOD) for interviews. It includes fundamental concepts like OOP, SOLID principles, and design patterns. You can find detailed explanations with code examples and diagrams. There are also practice problems to design systems like parking lots, vending machines, and more complex systems like social networks or ride-sharing services. Additionally, it recommends books and other resources to improve your skills. This will help you prepare well for technical interviews and become a better software designer.

https://github.com/ashishps1/awesome-low-level-design

#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 #architecture #awesome #awesome_list #backend #big_data #computer_science #design_patterns #devops #distributed_systems #interview #interview_practice #interview_questions #lists #machine_learning #programming #resources #scalability #system #system_design #web_development

This resource provides a comprehensive guide to building scalable, reliable, and performant large-scale systems. Here are the key benefits It offers detailed articles and case studies from prominent engineers on how to design systems that can handle heavy loads and perform well for both single users and millions of users.
- **System Design Interviews** It covers how to scale teams effectively, focusing on increasing team output and value rather than just growing the team size.
- **Community Contributions** The resource covers a wide range of topics including scalability, availability, stability, performance, intelligence, architecture, and more, providing a holistic view of system engineering.

Overall, this guide is invaluable for anyone looking to build or maintain large-scale systems efficiently.

https://github.com/binhnguyennus/awesome-scalability

#go #go_interview_questions #go_practice #golang #golang_interview_questions #golang_practice #hacktoberfest #interview #interview_practice #interview_questions #learn_to_code #learning_resources

You can practice and improve your Go programming skills with an interactive web platform that offers 30 coding challenges ranging from beginner to advanced levels. It provides a live code editor with syntax highlighting, instant test results, and detailed performance analytics to help you write efficient Go code. You can track your progress on leaderboards, compare your solutions with others, and learn from detailed explanations and resources for each challenge. The platform supports easy setup via web UI, GitHub Codespaces, or command line, making it convenient to prepare for Go technical interviews and boost your coding confidence. This helps you master Go concepts and get ready for real job interviews effectively.

https://github.com/RezaSi/go-interview-practice