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#csharp #asp_net #asp_net_core_web_api #asp_net_mvc #aspnet_core #aspnetcore #csharp_code #design_patterns #memcached #microsoft #microsoft_sql #mongodb #mysql #nosql #oracle #postgresql #practice #redis #sql #web

This is a complete guide to help developers learn, work, and interview about C#, .NET, and .NET Core. Here's a short summary and benefits for users:

### Main content
- Learning resources: Created an open-source tech community for .NET developers. Offers tech sharing, advice, project framework recommendations, and job info.
- Interview guide: Provides various practical development tutorials, like MongoDB, SQLite, Blazor, etc.
- Coding tips and algorithms: Covers relational (SQL) and non-relational (NoSQL) databases, system design, and computer networks.
- Container tech and DevOps: Offers Git tutorials and various resume templates.

### Benefits for users
- Complete learning resources: Created a tech community to help developers share and work together.
- Interview prep: Helps developers get hands-on experience through various practical tutorials.
- Skill improvement: Covers many tech areas including coding tips, databases, system design, etc. Helps developers improve their overall skills.

In short, this guide is a very complete and valuable resource. It can meet the various needs of .NET developers and help them advance in their careers.

https://github.com/YSGStudyHards/DotNetGuide
#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
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#java #awesome_list #design_patterns #hacktoberfest #java #principles #snippets #snippets_collection #snippets_library

This project provides a comprehensive collection of Java design patterns, which are proven solutions to common programming problems. Here are the key points The project includes implementations of various design patterns in Java, such as Creational, Behavioral, and Structural patterns. These patterns help speed up the development process and improve code readability.
- **Community Driven** Each pattern comes with well-commented source code and high-level descriptions, serving as programming tutorials.
- **Contributions Welcome** The project is available in multiple languages and includes an e-book for further learning.

Using these design patterns can help you write more efficient, maintainable, and scalable code.

https://github.com/iluwatar/java-design-patterns
#other #architecture #awesome #awesome_list #cloud_computing #design_patterns #gof_patterns #lists #microservices #resources

This resource provides a comprehensive list of software and architectural design patterns across various programming languages, architectures, and technologies. It includes patterns for cloud architecture, serverless architecture, microservices, big data, machine learning, databases, DevOps, mobile development, front-end development, and security. These patterns are general, reusable solutions to common problems in software design, helping developers solve issues efficiently and consistently. By using these patterns, developers can improve the reliability, scalability, and maintainability of their software systems, making their work more efficient and effective.

https://github.com/DovAmir/awesome-design-patterns
#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