Python Full Stack Development

Learn Python Full Stack Development, backend development, frontend technologies, and modern web applications using real-world projects, industry-standard frameworks, and hands-on practical implementation.

Python
Python Full Stack

What is Python Full Stack Development?

Python Full Stack Development is the process of building web applications using Python for the backend and modern frontend technologies for the user interface. It combines Python programming, web development frameworks, database management, and frontend development to create secure, scalable, and dynamic applications.

Python Full Stack Development

Module 1 : Core Python Fundamentals
  • History and features of Python
  • Identifiers and variables
  • Input and output statements
  • String formatting
  • Data types
  • Type casting
  • Operators
  • Strings and string operations
  • Flow control statements (if, loops)
  • Basic problem-solving using Python

Module 2 : Functions & Python Programming Essentials
  • Functions
  • Parameters and arguments
  • Return statements
  • Scope and lifetime of variables
  • Data structures
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • Lambda functions
  • Map, Filter, Reduce
  • Iterators and generators

Module 3 : Advanced Python Development
  • Exception handling
  • Packages and modules
  • Import statements
  • File handling
  • Regular expressions
  • Decorators
  • Multi-threading basics

Module 4 : Object-Oriented Programming (OOP)
  • Classes and objects
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Abstraction
  • Special methods (dunder methods)

Module 5 : Django Fundamentals
  • Introduction to Django
  • Setting up Django environment
  • Project and app creation
  • Django architecture (MVT)
  • URL routing
  • Views
  • Templates
  • Static files handling

Module 6 : Database Integration & CRUD Applications
  • Models and database integration
  • SQLite/PostgreSQL basics
  • Django ORM
  • Django Admin Panel
  • Forms handling
  • CRUD operations
  • Model relationships

Module 7 : Authentication & REST APIs
  • User authentication
  • Authorization
  • Sessions and cookies
  • Login and registration systems
  • Password hashing
  • REST API basics with Django
  • API serialization
  • API testing fundamentals

Module 8 : Deployment & Final Projects
  • FastAPI
  • Model deployment
  • Docker basics
  • MLflow basics
  • Monitoring & logging
  • Final Projects (Pick One)
  • Customer churn prediction API
  • AI-powered analytics assistant
  • Fraud detection dashboard
  • Demand forecasting system