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#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
#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
#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
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