Python Full stack Course Content

Python Fullstack

1: Introduction to Full-Stack Development

  • Overview of Full-Stack Development
    • Understanding the role of a full-stack developer
    • Introduction to front-end, back-end, and database technologies
    • Setting up the development environment: Git, GitHub, IDE (VS Code, PyCharm)
  • Introduction to Web Technologies
    • Overview of web technologies: HTML, CSS, JavaScript
    • Understanding the client-server architecture
    • HTTP/S protocol basics, request-response lifecycle

2: Python Fundamentals

  • Python Basics
    • Variables, data types, and operators
    • Control flow: conditionals and loops
    • Functions and modules
    • Data structures: lists, tuples, dictionaries, sets
    • File handling and exception handling
  • Advanced Python Concepts
    • Object-Oriented Programming (OOP) in Python
    • Working with Python’s standard libraries (os, sys, datetime)
    • Introduction to virtual environments and package management with pip

3: Front-End Development

  • HTML5
    • Structure of an HTML document
    • Semantic HTML tags and best practices
    • Forms and validation
    • Integrating multimedia (images, videos, audio)
  • CSS3
    • CSS syntax, selectors, and properties
    • Box model, flexbox, and grid layout
    • Responsive design with media queries
    • CSS preprocessors: SASS/LESS (optional)
  • JavaScript
    • JavaScript syntax and data types
    • DOM manipulation and event handling
    • Introduction to ES6+ features (arrow functions, promises, async/await)
    • Working with APIs using fetch and axios

4: Front-End Frameworks

  • Introduction to Front-End Frameworks
    • Understanding the need for frameworks
    • Overview of popular frameworks: React, Angular, Vue.js
  • React.js (or alternative framework)
    • Setting up a React project using Create React App
    • Understanding components, props, and state
    • Handling forms and user inputs
    • React Router for navigation
    • State management with Redux (optional)
    • Integrating with RESTful APIs

5: Back-End Development with Python

  • Introduction to Back-End Development
    • Understanding the role of the back-end in web applications
    • Introduction to server-side programming with Python
  • Flask Web Framework
    • Setting up a Flask project
    • Flask routing and views
    • Handling forms and user inputs with Flask
    • Template rendering with Jinja2
    • Serving static files (CSS, JavaScript, images)
    • Flask extensions for added functionality (Flask-WTF, Flask-Login)
  • Django Web Framework (optional alternative to Flask)
    • Setting up a Django project
    • Django models, views, and templates (MVT architecture)
    • Working with Django’s ORM for database operations
    • Implementing user authentication and authorization

6: Databases

  • Introduction to Databases
    • Understanding relational vs. non-relational databases
    • Overview of SQL and NoSQL databases
  • SQL Databases
    • Introduction to SQLite/PostgreSQL/MySQL
    • CRUD operations with SQL
    • Database design and normalization
    • Using Python’s sqlite3 or psycopg2 for database interaction
  • ORM (Object-Relational Mapping)
    • Introduction to ORMs: benefits and use cases
    • Working with SQLAlchemy (Flask) or Django ORM
    • Implementing relationships between models
    • Querying the database using ORM

7: RESTful APIs and Web Services

  • Understanding REST Architecture
    • What is a RESTful API?
    • HTTP methods: GET, POST, PUT, DELETE
    • Designing RESTful APIs with Flask/Django
  • Building APIs with Flask
    • Setting up API endpoints
    • Handling JSON data and responses
    • Implementing CRUD operations in APIs
    • API authentication with JWT (JSON Web Tokens)
  • Consuming APIs in the Front-End
    • Making HTTP requests from front-end applications
    • Working with third-party APIs
    • Error handling in API requests

8: Authentication and Security

  • User Authentication
    • Implementing user registration and login functionality
    • Securing routes with authentication checks
    • Managing sessions and cookies in Flask/Django
  • Authorization
    • Role-based access control (RBAC)
    • Implementing permissions and protected routes
  • Web Application Security
    • Understanding common web security threats (XSS, CSRF, SQL Injection)
    • Implementing security best practices in Flask/Django
    • Using HTTPS and secure cookies

9: Testing and Debugging

  • Introduction to Testing
    • Importance of testing in web development
    • Types of testing: unit testing, integration testing, E2E testing
  • Testing in Python
    • Writing unit tests with unittest or pytest
    • Testing Flask/Django applications
    • Using Postman or Insomnia for API testing
  • Debugging Techniques
    • Debugging Python applications using pdb
    • Debugging front-end code using browser developer tools
    • Logging and monitoring in web applications

10: Deployment and DevOps

  • Introduction to Deployment
    • Preparing a Python web application for deployment
    • Choosing a deployment platform: Heroku, AWS, DigitalOcean
  • Deploying Flask/Django Applications
    • Setting up a production server
    • Configuring environment variables
    • Using Gunicorn and Nginx for serving applications
  • Containerization with Docker
    • Introduction to Docker and containerization
    • Dockerizing a Python web application
    • Using Docker Compose for multi-container applications
  • CI/CD Pipelines
    • Introduction to Continuous Integration/Continuous Deployment
    • Setting up automated tests and deployment pipelines
    • Monitoring and scaling applications in production

11: Real-Time Web Applications (Optional)

  • Introduction to Real-Time Web Apps
    • Understanding WebSockets and real-time communication
    • Use cases for real-time features (chat, notifications, live updates)
  • Implementing Real-Time Features
    • Using Flask-SocketIO for real-time communication
    • Integrating real-time features in front-end with JavaScript
    • Building a real-time chat or notification system
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Python
1. Python Basics
What is Python
Why Python?
History of python
Applications of Python
Features of Python
Advantages of Python
Versions of Python
Installation of Python
Flavors of Python
Comparision b/w various programming languages C, Java and Python
2. Python Operations
Python Modes of Execution
Interactive mode of Execution
Batch mode of Execution
Python Editors and IDEs
Python Data Types
Python Constants
Python Variables
Comments in python
Output Print(),function
Input() Function :Accepting input
Type Conversion
Type(),Id() Functions
Comments in Python
Escape Sequences in Python
Strings in Python
String indices and slicing
3. Operators in Python
Arithmetic Operators
Comparision Operators
Logical Operators
Assignment Operators
Short Hand Assignment Operators
Bitwise Operators
Membership Operators
Identity Operators
4. Python IDE’s
Pycharm IDE Installation
Working with Pycharm
Pycharm components
Installing Anaconda
What is Conda?
Anaconda Prompt
Anaconda Navigator
Jupyter Notebook
Jupyter Features
Spyder IDE
Spyder Featueres
Conda and PIP
5. Flow Control statements
Block/clause
Indentation in Python
Conditional Statements
if stmt
if…else statement
if…elif…statement
6. Looping Statements
while loop,
while … else,
for loop
Range() in for loop
Nested for loop
Break statememt
Continue statement
Pass statement
7. Strings in Python
Creating Strings
String indexing
String slicing
String Concatenation
String Comparision
String splitting and joining
Finding Sub Strings
String Case Change
Split strings
String methods
8. Collections in Python
Introduction
Lists
Tuples
Sets
Dictionaries
Operations on collections
Functions for collections
Methods of collection
Nested collections
Differences b/w list tuple and set and Dictionary
9. Python Lists
List properties
List Creation
List indexing and slicing
List Operations
List addresses
List functions
Different ways of creating lists
Nested Lists
List modification
List insertion and deletion
List Methods
10. Python Tuples
Tuple properties
Tuple Creation
Tuple indexing and slicing
Different ways of creating tuples
Tuple Operations
Tuple Addresses
Tuple Functions
Nested Tuples
Tuple Methods
Differences b/w List and Tuple
11. Python Sets
Set properties
Set Creation
Set Operations
Set Functions
Set Addresses
Set Mathematical Operations
Set Methods
Insertion and Deletion operation
12. Python Dictionary
Dictionary properties
Dictionary Creation
Dictionary Operations
Dictionary Addresses
Nested Dictionaries
Dictionary Methods
Insertion and Deletion of elements
Differences b/w list tuple and set and Dictionary
13. Functions in Python
Defining a function
Calling a function
Properties of Function
Examples of Functions
Categories of Functions
Argument types
default arguments
non-default arguments
keyword arguments
non keyword arguments
Variable Length Arguments
Variables scope
Call by value and Call by Reference
Passing collections to function
Local and Global variables
Recursive Function
Boolean Function
Passing functions to function
Anonymous or Lamda function
Filter() and map() functions
Reduce Function
14. Modules in Python
What is a module?
Different types of module
Creating user defined module
Setting path
The import statement
Normal Import
From … Import
Module Aliases
Reloading a module
Dir function
Working with Standard modules -Math, Random, Date time and os modules,
15. Packages
Introduction to packages
Defining packages
Importing from packages
–init–.py file
Defining sub packages
Importing from sub packages
16. Errors and Exception Handling
Types of errors
Compile-Time Errors
Run-Time Errors
What is Exception?
Need of Exception handling
Predefined Exceptions
Try,Except, finally blocks
Nested blocks
Handling Multiple Exceptions
User defined Exceptions
Raise statement
17. File Handling
Introduction
Types of Files in Python
Opening a file
Closing a file
Writing data to files
Tell( ) and seek( ) methods
Reading a data from files
Appending data to files
With open stmt
Various functions
Advanced Python
18. OOPs Concepts
OOPS Features
Encapsulation
Abstraction
Class
Object
Static and non static variables
Defining methods
Diff b/w functions & methods
Constructors
Parameterized Constructors
Built –in attributes
Object Reference count
Destructor
Garbage Collection
Inheritance
Types of Inheritances
Object class
Polymorphism
Over riding
Super() statement
19. Regular Expressions
What is regular expression?
Special characters
Forming regular expression
Compiling regular expressions
Grouping
Findall() function
Finditer() function
Sub() function
Match() function
Search() function
Matching vs searching
Splitting a string
Replacing text
validations
20. Database Access
Introduction
Installing mysql database
Creating database users,
Installing Oracle Python modules
Establishing connection with mysql
Closing database connections
Connection object
Cursor object
Executing SQL queries
Retrieving data from Database.
Using bind variables executing
SQL queries
Transaction Management
Handling errors
21. Python Date and Time
How to Use Date &DateTime Class
Time and date Objects
Calendar in Python
The Time Module
Python Calendar Module
22. Operating System Module
Introduction
getcwd
listdir
chdir
mkdir
rename file/dir
remove file/dir
rmtree()
Os help
Os operations

DJANGO
1. INTRODUCTION
What is Django?
Why Django? Key Advantages
History of Django
Features of Django
Characteristics of Django
Companies Using Django
Difference b/w MVC and MVT
Models Views and Templates
2. WEB FRAMEWORKS
What is a Web Framework?
What is a server?
HTTP Requests and HTTP Responses
What is a web framework ?
What is a web application?
Steps in Developing web application.
3. DJANGO INSTALLATION
Django Architecture
Django Installation
Virtual Environment
Working with Pycharm
Working with ATOM
Developing First Django Application
4. DJANGO PROJECT ARCHITECTURE
Exploring manage.py,
Exploring urls.py
Exploring settings.py,
Exploring admin.py,
Exploring models.py,
Exploring views.py,
Application creations and Examples
5. DJANGO APPLICATION CREATION
steps in Application creation
Working with views
Working with HTML and CSS
Working with Bootstrap
Django Application creation in Atom
Django Application creation in Pycharm
project with multiple Applications
Reusing a Application in different projects
working with staticfiles
6. DJANGO VIEWS
Requesting a web page via URL
Rendering web page via view function
Render HttpResponse to templates
Application with multiple views
Understanding context object and dictionary type
GET and POST methods
7. DJANGO TEMPLATES
Template tags
Template Filters
Template API
Passing Dynamic content to template file
Passing multiple dict values to template
Loading static files
Adding image file to template
Advanced Templates
Template library
custom template filter
custom templates tags
Registering the tags
8. DJANGO ADMIN
Activating the Admin interface
Creating super user for Admin site
Using the Admin site
How to use the Admin site
9. DJANGO MODELS
W
orking with models and databases
Defining Models
Model Fields
Defining forms
ModelForms
makemigrations and migrate
Registering models in settings.py
Registering models with Admin site
Connecting with sqlite3
Connecting with MySQL
Connecting with Oracle
10. ADVANCED CONCEPTS
Django ORM
Faker Module
Class based views
Form validation
Rendering forms
crispy forms
MultiselectField
Embeded Video
Uploading and downloading Files
Working with Audio and video
Integrating with legacy databases and applications
Sessions users Registrations
Security
Django Deployment
Other Contributed Frameworks