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Comprehensive roadmap and checklist for aspiring backend developers, covering foundational concepts, Python proficiency, collaborative tools, design principles, and basic knowledge in generative AI. Use this repository to track your progress and enhance your skills in building robust backend systems.

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Backend Developer Learning Roadmap

This repository serves as a comprehensive learning roadmap for aspiring backend developers. It includes checklists covering general knowledge, best practices, Python proficiency, collaborative tools, and design principles. Use this roadmap to guide your learning journey, track your progress, and enhance your skills in backend development.

The repository is going to be updated as my knowledge about backend world improves.

Feel free to fork and customize this roadmap based on your preferences and career goals by forking this repository and editing the README.md file.

Important

The repository contains:

  • A beginner guide to foundational concepts and basic backend development skills.
  • An intermediate guide focusing on more advanced backend topics and specialized areas.
  • An advanced guide covering expert-level concepts, performance optimization, and architectural design considerations.

Contents

🌱 Beginner Level

Located here!.

  • General Knowledge and Best Practices: Foundational Concepts, Coding Standards and Best Practices, Command Line and Scripting.
  • Database Management: Database Basics, Relational Databases, NoSQL Databases, Database Design.
  • Version Control and Collaboration: Basic concepts of version control, Git commands.
  • Python Knowledge: Core Python, Environment Setup.
  • Web Services: APIs and Web Services.

🚀 Intermediate Level

Located here!.

  • General Knowledge and Best Practices: Debugging.
  • Database Management: Database Backup and Recovery, Database Migration, Database Indexing, Time Series Databases, Search Engines.
  • Version Control and Collaboration: Deepen understanding of Git, Git Flow, Semantic Versioning, Code Reviews.
  • Python Knowledge: Object-Oriented Programming (OOP), Python Standard Library, Libraries, Error Handling, Frameworks, Deployment, Testing and Quality Assurance, Documentation, Generators, Decorators, Data Classes.
  • Web Services: Services and Microservices.
  • Containerization and Orchestration: Docker Basics, Docker Compose, Kubernetes Fundamentals.
  • Design Knowledge: Design Principles, MVC, Monolithic, Microservices, Design Patterns, Domain Driven Design, API Versioning.
  • CI/CD Pipelines: Jenkins, GitLab CI, GitHub Actions, Building Docker Images in CI/CD.
  • Monitoring and Logging: Logging Strategies.
  • Security Practices: Web Security Basics, OWASP Top 10, Secure Authentication and Authorization, Secure Communication, Secure Data Storage, Container Security.
  • Project Management and Documentation: Project Management Tools, Agile and Scrum, Documentation and Technical Writing.
  • Cloud Services: Cloud Providers.

🔥 Advanced Level

Located here!.

  • Database Management: Database Sharding, Database Replication, Database Partitioning, Database Scaling, Graph Databases.
  • Python Knowledge: Concurrency and Multithreading, Asynchronous Programming, Metaclasses, Context Managers.
  • Containerization and Orchestration: Kubernetes Deployment, Kubernetes Services, Helm.
  • Design Knowledge: Event-Driven Architecture, Functional Programming, Test Driven Development, Behavior Driven Development.
  • Monitoring and Logging: Monitoring Tools, Distributed Tracing.
  • Security Practices: Security Testing and Vulnerability Assessments, Secure Software Development Lifecycle (SDLC), Security Incident Response, Cloud Security, Secure APIs.
  • Cloud Services: Serverless Computing, Infrastructure as Code (IaC), Managed Services.

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Comprehensive roadmap and checklist for aspiring backend developers, covering foundational concepts, Python proficiency, collaborative tools, design principles, and basic knowledge in generative AI. Use this repository to track your progress and enhance your skills in building robust backend systems.

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