Information

Curriculum

Feb. 16, 2025, 2:37 a.m.

Backend Development Roadmap

This roadmap is designed to help you build robust backend skills using Python Django and master SQL with The Complete SQL Bootcamp: Go from Zero to Hero. It includes foundational courses along with advanced courses for Django and Django ORM.

1. Fundamentals

1.1. Programming & Web Basics

Programming Essentials: Review Python fundamentals, including OOP and modular programming.
Web Technologies: Understand HTTP, RESTful architecture, and client-server communication.
Version Control: Get comfortable with Git for source code management and collaboration.

2. Django Foundations

2.1. Getting Started with Django

Recommended Course: Python Django - The Practical Guide
Goals:
Set up a Django project and understand its overall architecture.
Build models, views, templates, and forms.
Implement user authentication and basic CRUD operations.
Practical Exercise:
Create a simple blog or to-do application.
Explore the Django Admin for data management.

3. Advanced Django & ORM Mastery

3.1. Advanced Django

Recommended Course: Advanced Django: Mastering Django and Django REST Framework (Udemy)
Goals:
Dive into advanced topics such as middleware, signals, asynchronous processing, and custom context processors.
Learn to build robust RESTful APIs using Django REST Framework.
Practical Exercise:
Enhance your basic Django application by adding custom middleware and API endpoints.
Optimize performance and implement advanced security features.

3.2. Django ORM Mastery

Recommended Course: Django Database ORM Mastery 2024 (Udemy)
Goals:
Deep dive into how Django ORM translates queries into SQL.
Master advanced querying techniques, custom managers, and query optimizations.
Practical Exercise:
Analyze complex relationships and optimize query performance.
Implement advanced data models and custom querysets in a real-world project.

4. SQL Mastery with PostgreSQL

4.1. SQL Fundamentals

Recommended Course: The Complete SQL Bootcamp: Go from Zero to Hero
Goals:
Master SQL basics: SELECT, INSERT, UPDATE, DELETE, and JOIN operations.
Learn relational database design and normalization.
Practical Exercise:
Create sample databases and practice writing queries.
Integrate PostgreSQL with your Django projects.

4.2. Advanced SQL & Database Optimization

Topics to Explore:
Advanced querying techniques, indexing, transactions, and stored procedures.
Performance tuning and query optimization.
Practical Exercise:
Optimize complex queries using EXPLAIN and indexing strategies.
Enhance database performance in your Django application.

5. Advanced Backend Topics

5.1. Performance & Security Optimization

Topics to Explore:
Caching strategies (e.g., using Redis) to improve performance.
Security best practices, including data sanitization and protection against common vulnerabilities.
Practical Exercise:
Implement caching in your Django project.
Secure your application following best practices.

5.2. Deployment & Operations

Topics to Explore:
Deploy Django applications using WSGI servers (e.g., Gunicorn) and reverse proxies (e.g., Nginx).
Use Docker and CI/CD pipelines for automated deployment.
Practical Exercise:
Containerize your Django application and deploy it to a cloud service.
Set up monitoring and logging for production environments.

6. Capstone Project

6.1. Full-Scale Backend Application

Project Goals:
Combine your Django and SQL skills to build a production-level web application.
Incorporate user authentication, RESTful APIs, and complex data relationships.
Focus on performance, security, and scalability.
Project Ideas:
A comprehensive blog platform with user roles and commenting.
An e-commerce website with product management and order processing.
A social media platform with real-time notifications and interactions.

Additional Resources

Documentation:
Django Official Documentation
PostgreSQL Official Documentation
Communities:
Engage with developers on Stack Overflow, Reddit, and GitHub.
Further Reading:
High Performance Django – for advanced deployment and optimization strategies.
Designing Data-Intensive Applications – for insights into scalable data architecture.

This roadmap blends foundational knowledge with advanced techniques, helping you progress from building basic applications to mastering complex backend systems. Happy coding!