#javascript #interview_preparation #interview_questions #javascript #javascript_applications #javascript_framework #javascript_interview_questions #react #react_interview_questions #react_native #react_router #react16 #reactjs #redux

React interview questions and answers help you prepare for job interviews by covering various aspects of React, including core concepts, lifecycle methods, state management, and advanced topics. This resource provides detailed explanations and examples to improve your understanding and confidence. It includes links to additional resources like GreatFrontEnd, FrontendLead, and ZeroToMastery courses, enhancing your learning experience. By using this resource, you can ace React interviews and gain a deeper understanding of the framework, making you more competitive in the job market.

https://github.com/sudheerj/reactjs-interview-questions

#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 #aws #cloud_computing #coding_interviews #computer_science #interview_questions #software_architecture #software_development #software_engineering #system_design #system_design_interview

This resource, "System Design 101," is designed to help you understand complex systems using simple terms and visuals. Here’s the key benefit It explains various system design concepts, such as communication protocols (REST, GraphQL, gRPC), CI/CD pipelines, architecture patterns (MVC, MVP, MVVM), database systems, caching strategies, microservice architecture, payment systems, DevOps tools (Kubernetes, Docker), and security mechanisms (HTTPS, OAuth 2.0) in an easy-to-understand manner.
- **Practical Examples** The resource uses diagrams and images to make complex technical topics more accessible and easier to comprehend.

Overall, this resource helps you prepare for system design interviews or simply understand how systems work, making it a valuable tool for developers and engineers.

https://github.com/ByteByteGoHq/system-design-101

#mdx #css #css_questions #front_end #front_end_development #front_end_interview #front_end_system_design #html #html_questions #interview #interview_preparation #interview_questions #interview_test #javascript #js_questions #web_development

The Front End Interview Handbook is a resource to help you prepare for front-end developer job interviews. It covers various aspects like HTML, CSS, JavaScript, and system design, with different types of questions and formats used by different companies. You can practice with over 200 questions and automated test cases on the GreatFrontEnd platform, which also offers study plans, focus areas, and preparation stages tailored to your needs. This handbook is available in multiple languages and can significantly improve your chances of acing a front-end interview.

https://github.com/yangshun/front-end-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

#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

#python #ansible #aws #azure #coding #containers #devops #docker #git #interview #interview_questions #kubernetes #linux #openstack #production_engineer #prometheus #python #sql #sre #terraform

This repository contains a collection of exercises and questions on various technical topics, including DevOps and SRE. It offers 2624 exercises that can be useful for preparing for interviews or learning new concepts. The repository covers a wide range of subjects such as networking, operating systems, cloud computing, and more. By using these resources, you can improve your skills in areas like software development, infrastructure management, and system reliability engineering. This helps you become more proficient in handling complex IT environments and enhances your career prospects in related fields.

https://github.com/bregman-arie/devops-exercises

#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

#python #documentation #gotchas #interview_questions #pitfalls #python #python_interview_questions #snippets #wats #wtf

Python is a high-level, easy-to-read programming language widely used in many fields like web development, data science, and AI. The "What the f*ck Python?" project helps you understand tricky, surprising Python behaviors through clear examples and explanations. It reveals lesser-known features and common pitfalls, making it easier to write better code and debug problems. By exploring these examples, you can deepen your knowledge of Python’s internals, improve your coding skills, and avoid common mistakes, which benefits both beginners and experienced programmers alike[3].

https://github.com/satwikkansal/wtfpython

#java #awesome #backend #computer_science #distributed_systems #high_level_design #hld #interview #interview_questions #scalability #system_design

You can learn important system design concepts for free, covering topics like scalability, availability, CAP theorem, caching, databases, APIs, microservices, and distributed systems. This resource offers clear explanations, interview preparation guides, and practical design problems from easy to hard, helping you understand how to build reliable, scalable software systems. It also provides links to courses, books, newsletters, and videos to deepen your knowledge. Using these materials can improve your skills for system design interviews and real-world software architecture, making you more confident and effective in designing complex systems.

https://github.com/ashishps1/awesome-system-design-resources