#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

#javascript #airtable #hiring #hiring_without_whiteboards #interview #jobs #tech #whiteboard

- Real-World Problems You might be given a project to complete at home, which allows you to showcase your skills in a more natural setting.
- Pair Programming Interviews focus on discussing your past experiences, how you approach problems, and your technical background.

**Benefits to You These methods give a clearer picture of your actual skills and how you work in real-world scenarios.
- Less Stress You get to interact with the team and understand the company culture better.
- More Meaningful Feedback: You receive feedback on your work and approach, which can help you grow professionally.

This approach makes the interview process more enjoyable and relevant, allowing both you and the company to assess whether you're a good fit for the role.

https://github.com/poteto/hiring-without-whiteboards

#javascript #css #fe_interview #front_end #frontend #frontend_interview #html #interview #interview_questions #javascript #js #node #nodejs #react #resume #vue

If you or your friends love playing badminton, there's a professional badminton tournament system called "点点赛" (Diandiansai) that you can recommend. This system is easy to use and can be experienced by scanning a QR code with WeChat. It's about to become open-source, making it freely available for everyone. Using this system can help organize and manage badminton tournaments more efficiently, enhancing the overall experience for players and organizers alike.

https://github.com/haizlin/fe-interview

#other #internships #interview_preparation #jobs #university

This repository provides a comprehensive list of summer 2025 tech internships across various companies in the United States, Canada, and remote positions. Here are the key points Maintained by Pitt Computer Science Club and Simplify, ensuring continuous updates.
- **Locations** Features internships from top tech companies like Amazon, Google, Microsoft, Facebook, and many more.
- **Roles**
- A guide called "Zero to Offer" for navigating the internship process.
- Email updates available through the SWE List tool.
- Autofill application feature via Simplify’s extension to streamline the application process.

To contribute, submit an issue following the provided guidelines. This resource is invaluable for students seeking tech internships in summer 2025.

https://github.com/SimplifyJobs/Summer2025-Internships

#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

#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

#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

#other #angular #angular_interview_questions #angular6 #angular7 #angularjs #interview_questions #javascript_framework #javascript_interview_questions #rxjs #typescript

Angular is a powerful framework for building web, mobile, and desktop applications. Here are the key points and benefits
- **Components** Organize the application into logical pieces, importing necessary components, directives, and services.
- **Templates** Share data and functionality across components.
- **Metadata**
- **Interpolation** Sets DOM element properties.
- **Event Binding** Synchronizes data between the component and the DOM.

- **Directives** Directives with a template.
- **Structural Directives** Modify the appearance or behavior of an element (e.g., `ngStyle`, `ngClass`).

- **Forms** Model-driven approach using FormControl and FormGroup.
- **Template-driven Forms**
- Enables client-side routing, allowing navigation between views without full page reloads.
- Uses `RouterOutlet` and `RouterLink` directives.

- **Dependency Injection**
- Handle asynchronous data streams using Observables and RxJS operators.
- Useful for HTTP requests and other asynchronous operations.

- **Animations**
- Use the `i18n` attribute to mark translatable content.
- Extract and translate text using tools like `ng xi18n`.

- **Security**:
- Use sanitization to prevent XSS attacks.
- Follow best practices like avoiding direct DOM manipulation and using the `DomSanitizer`.

- **Testing**

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

#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