Full Stack Python Table of Contents Introduction to Full Stack Development What is Full Stack Python? Frontend Technologies Backend with Python Databases Popular Python Web Frameworks
REST APIs with Python Authentication & Authorization Deployment Tools & Best Practices Project Example Resources
Introduction to Full Stack Development Full Stack Developer: A software engineer who can work on both the frontend and backend of a web application. Key Layers: Frontend (Client-side) Backend (Server-side) Database
What is Full Stack Python? A Full Stack Python Developer uses Python for backend development and typically uses HTML/CSS/JavaScript for the frontend. Python is used for: Server-side scripting Building REST APIs Data handling and manipulation Interfacing with databases
Frontend Technologies Tech Description HTML5 Structure of the web page CSS3 Styling the frontend JavaScript Interactivity Frameworks React, Vue.js, Bootstrap
Backend with Python Python frameworks used for backend: Flask – Lightweight and minimal Django – Full-featured web framework FastAPI – High performance, great for APIs Python handles: Routing Business logic Database communication Templating
Databases Used to store and manage application data. Tools type Relational MySQL, PostgreSQL, SQLite NoSQL MongoDB, Redis Use ORMs (Object Relational Mappers): Django ORM SQLAlchemy
Popular Python Web Frameworks Django Batteries-included Admin panel, ORM, templating Suitable for large apps Flask Micro-framework Lightweight, more control Great for small to mid-sized apps FastAPI Asynchronous support Built-in OpenAPI (Swagger) Great for APIs and microservices
REST APIs with Python Steps to build REST APIs: Define endpoints Create routes Use JSON to send/receive data Secure with authentication
Authentication & Authorization Handle User Login/Signup Use tools like: Flask-Login (Flask) Django Authentication OAuth2 / JWT
Deployment Steps to deploy Python full-stack apps: Use Gunicorn as WSGI server Use Nginx or Apache as reverse proxy Host on: Heroku Render DigitalOcean AWS / Azure Dockerize your app for portability.
Tools & Best Practices Purpose tool Git GitHub/GitLab Docker Postman VS Code / PyCharm Virtualenv / Poetry Version control Code hosting Containerization API testing IDEs Dependency management
Best Practices: Use virtual environments Follow MVC pattern Write unit tests Use linters like flake8
Project Example - Blog App Features: User Registration/Login Create/Edit/Delete Posts View all posts REST API for posts
Tech Stack: Frontend: HTML, CSS, JavaScript Backend: Flask or Django Database: SQLite or PostgreSQL
Resources FullStackPython.com RealPython.com Django Docs Flask Docs FastAPI Docs GitHub Topics
Conclusion Becoming a Full Stack Python Developer involves learning frontend skills, mastering Python and its web frameworks, and understanding how to integrate with databases and deploy applications.

Full Stack Python at https://code99itacademy.com/

  • 1.
    Full Stack Python Tableof Contents Introduction to Full Stack Development What is Full Stack Python? Frontend Technologies Backend with Python Databases Popular Python Web Frameworks
  • 2.
    REST APIs withPython Authentication & Authorization Deployment Tools & Best Practices Project Example Resources
  • 3.
    Introduction to FullStack Development Full Stack Developer: A software engineer who can work on both the frontend and backend of a web application. Key Layers: Frontend (Client-side) Backend (Server-side) Database
  • 4.
    What is FullStack Python? A Full Stack Python Developer uses Python for backend development and typically uses HTML/CSS/JavaScript for the frontend. Python is used for: Server-side scripting Building REST APIs Data handling and manipulation Interfacing with databases
  • 5.
    Frontend Technologies Tech Description HTML5Structure of the web page CSS3 Styling the frontend JavaScript Interactivity Frameworks React, Vue.js, Bootstrap
  • 6.
    Backend with Python Pythonframeworks used for backend: Flask – Lightweight and minimal Django – Full-featured web framework FastAPI – High performance, great for APIs Python handles: Routing Business logic Database communication Templating
  • 7.
    Databases Used to storeand manage application data. Tools type Relational MySQL, PostgreSQL, SQLite NoSQL MongoDB, Redis Use ORMs (Object Relational Mappers): Django ORM SQLAlchemy
  • 8.
    Popular Python WebFrameworks Django Batteries-included Admin panel, ORM, templating Suitable for large apps Flask Micro-framework Lightweight, more control Great for small to mid-sized apps FastAPI Asynchronous support Built-in OpenAPI (Swagger) Great for APIs and microservices
  • 9.
    REST APIs withPython Steps to build REST APIs: Define endpoints Create routes Use JSON to send/receive data Secure with authentication
  • 10.
    Authentication & Authorization HandleUser Login/Signup Use tools like: Flask-Login (Flask) Django Authentication OAuth2 / JWT
  • 11.
    Deployment Steps to deployPython full-stack apps: Use Gunicorn as WSGI server Use Nginx or Apache as reverse proxy Host on: Heroku Render DigitalOcean AWS / Azure Dockerize your app for portability.
  • 12.
    Tools & BestPractices Purpose tool Git GitHub/GitLab Docker Postman VS Code / PyCharm Virtualenv / Poetry Version control Code hosting Containerization API testing IDEs Dependency management
  • 13.
    Best Practices: Use virtualenvironments Follow MVC pattern Write unit tests Use linters like flake8
  • 14.
    Project Example -Blog App Features: User Registration/Login Create/Edit/Delete Posts View all posts REST API for posts
  • 15.
    Tech Stack: Frontend: HTML,CSS, JavaScript Backend: Flask or Django Database: SQLite or PostgreSQL
  • 16.
  • 17.
    Conclusion Becoming a FullStack Python Developer involves learning frontend skills, mastering Python and its web frameworks, and understanding how to integrate with databases and deploy applications.