Learning Progression Guide
This guide outlines a recommended learning path through the Full Stack Learning Hub.
Quick Reference Card
| Stage | Focus | Key Resources |
|---|---|---|
| 1. Foundation | HTML, CSS basics | HTML Cheat Sheet, CSS Cheat Sheet |
| 2. Python Basics | Syntax, control flow | Python Basics Cheat Sheet |
| 3. Data Structures | Lists, dicts, algorithms | Data Structures Cheat Sheet |
| 4. OOP | Classes, inheritance | OOP Cheat Sheet |
| 5. Databases | SQL, SQLAlchemy | SQL and SQLAlchemy Cheat Sheet |
| 6. Web Backend | Flask, APIs | Flask REST API Development Guide |
| 7. JavaScript | DOM, async | JavaScript Basics Cheat Sheet |
| 8. React | Components, state | React Basics Guide |
Stage 1: Web Foundations
Start with HTML structure and CSS styling:
- HTML Cheat Sheet - Tags, structure, attributes
- CSS Cheat Sheet - Selectors, box model
- CSS Layout Guide - Flexbox and Grid basics
- Bootstrap Cheat Sheet - Grid system, components
Learning Goals:
- Understand HTML document structure and semantic elements
- Apply CSS selectors and the box model
- Create responsive layouts with Flexbox and Grid
- Use Bootstrap for rapid prototyping
Stage 2: Python Fundamentals
Build programming foundations:
- Python Basics Cheat Sheet - Variables, loops, functions
- Functional Programming Cheat Sheet - Map, filter, lambdas
- Error Handling Cheat Sheet - Exceptions, try/except
Learning Goals:
- Write Python functions with proper parameters and return values
- Use control flow statements (if/elif/else, for, while)
- Apply functional programming concepts (map, filter, list comprehensions)
- Handle exceptions gracefully
Stage 3: Data Structures and Algorithms
Master data organization and efficiency:
- Data Structures Cheat Sheet - Lists, dicts, sets
- Big O Notation Cheat Sheet - Complexity analysis
- Algorithms Guide - Sorting, searching
- Linked Lists and Custom Data Structures Guide - Custom data structures
Learning Goals:
- Choose appropriate data structures for different use cases
- Analyze time and space complexity with Big O notation
- Implement common algorithms (sorting, searching)
- Build custom data structures (linked lists, stacks, queues)
Stage 4: Object-Oriented Programming
Apply OOP principles:
- OOP Cheat Sheet - Classes, inheritance, polymorphism
- Advanced Python Cheat Sheet - Metaclasses, descriptors, decorators
Learning Goals:
- Design classes with proper encapsulation
- Use inheritance and composition appropriately
- Apply polymorphism and abstraction
- Understand advanced patterns (decorators, context managers)
Stage 5: Databases and ORM
Persist and query data:
- SQL DDL Guide - Schema definition
- SQL Advanced Queries Guide - Complex queries
- SQLAlchemy CRUD Guide - ORM basics
- SQLAlchemy Relationships Guide - One-to-many, many-to-many
- SQLAlchemy Advanced Patterns Guide - Production patterns
Learning Goals:
- Design database schemas with proper relationships
- Write efficient SQL queries with joins and aggregations
- Use SQLAlchemy ORM for Python-database interaction
- Understand relationship patterns and session management
Stage 6: Backend Development
Build APIs with Flask:
- Flask REST API Development Guide - RESTful design
- API Authentication Guide - JWT, Bearer tokens
- Flask Advanced Features Guide - Caching, rate limiting
- Python API Testing Guide - Testing patterns
- Flask API Build Secure Ship Handbook - Production deployment
Learning Goals:
- Design RESTful APIs following best practices
- Implement authentication with JWT and Bearer tokens
- Add caching and rate limiting for production
- Write comprehensive API tests
- Deploy Flask applications securely
Stage 7: JavaScript and DOM
Add interactivity:
- JavaScript Basics Cheat Sheet - Variables, types, loops
- JavaScript Functions Guide - Functions, callbacks
- DOM Manipulation Guide - Element manipulation
- JavaScript Fetch API Guide - HTTP requests
- JavaScript LocalStorage Guide - Browser storage
Learning Goals:
- Write JavaScript with modern ES6+ syntax
- Manipulate the DOM for dynamic UIs
- Make HTTP requests with the Fetch API
- Persist data with LocalStorage
- Handle asynchronous operations with async/await
Stage 8: React and Modern Frontend
Build component-based UIs:
- React Basics Guide - Components, props, state
- React Context State Management Guide - Context API
- React Router Navigation Guide - Routing
- React to Fullstack Track - React 19, Next.js 16
Learning Goals:
- Build reusable React components
- Manage state with hooks (useState, useEffect, useContext)
- Implement client-side routing
- Lift state up and use controlled components
- Understand modern React patterns and best practices
Stage 9: DevOps and Production
Deploy and maintain:
- Git Version Control Guide - Version control
- CI/CD Pipeline Guide - Automation
- Docker and Containerization Guide - Containers
Learning Goals:
- Use Git for version control and collaboration
- Set up CI/CD pipelines for automated testing and deployment
- Containerize applications with Docker
- Understand production deployment best practices
Practical Projects
After completing each stage, reinforce your learning with hands-on projects:
| Stage | Recommended Project |
|---|---|
| 1-2 | Simple portfolio page with Python scripts |
| 3-4 | Data processing CLI tool |
| 5 | Database-backed inventory system |
| 6 | REST API with authentication |
| 7 | Interactive web page with API integration |
| 8 | React e-commerce frontend |
| 9 | Full-stack application with CI/CD |
See Practice Assignments Compiled for detailed exercises.
Tips for Success
- Follow the order - Each stage builds on previous knowledge
- Practice actively - Work through the code examples, do not just read
- Build projects - Apply concepts in real applications
- Use the cheatsheets - Reference them while coding
- Read the glossary - Clarify unfamiliar terms in the Glossary