Professional Certification Course

Python Full Stack Development

Providing students with deep knowledge of how to make use of Python and related technologies for web application development is the major objective of this Python Full Stack Development course.

Hands-on Projects
Industry Ready

Course Overview

The curriculum is scrutinized to lead students through every stage, from the basics of Python programming to advanced web development along with Django, frontend technologies such as HTML, CSS, JavaScript, and Bootstrap, and database connection with MySQL.

Via hands-on training and real-world projects, students will obtain the skills needed to become effectual full-stack developers.

Unit-Wise Course Breakdown

1. Introduction to Python

A brief history of Python and its evolution as a powerful programming language. Overview about important features such as readability, simplicity, and flexibility. Setting up the local development environment. Downloading and installing Python.

Python HistoryKey FeaturesDevelopment EnvironmentInstallation

2. Environment Setup

Configuring Python PATH. Understanding and setting environment variables. Running Python through the command line or IDE. Using script mode on both Linux and Windows platforms.

Python PATHEnvironment VariablesCommand LineCross-platform Setup

3. Python Basics

Python identifiers and naming conventions. Reserved keywords and their usage. Syntax essentials: indentation, line continuation, and multi-line statements. Using quotes and writing comments effectively. Variable assignment, multiple assignments, and data type basics.

IdentifiersKeywordsSyntaxVariablesComments

4. Python Data Types

Working with number types in Python. Understanding strings, lists, tuples, and dictionaries. Converting between data types. Arithmetic operations and introduction to operators.

NumbersStringsListsTuplesDictionaries

5. Operators in Python

Comparison (relational) operators. Assignment and logical operators. Bitwise operations. Membership and identity operators.

ComparisonAssignmentLogicalBitwiseMembership

6. Conditional Statements

Writing decision-making logic using if, else, and elif. Implementing nested conditions. Combining conditional statements with loops.

If/ElseElifNested ConditionsLogic Flow

7. Looping Structures

while and for loops. Using break and continue effectively. Practical loop examples for processing data structures.

While LoopsFor LoopsBreak/ContinueData Processing

8. Working with Strings

Accessing, updating, and manipulating string values. Using escape characters and special operators. String formatting and multi-line strings using triple quotes.

String AccessManipulationEscape CharactersFormatting

9. Python Lists

Accessing and updating list elements. Deleting elements and performing basic list operations. slicing, indexing, and manipulating multidimensional lists.

List AccessOperationsSlicingMultidimensional

10. Tuples in Python

Accessing, updating, and deleting tuple elements. Performing tuple operations like slicing and nesting.

Tuple AccessOperationsSlicingNesting

11. Python Dictionaries

Accessing and modifying dictionary elements. Deleting keys and understanding dictionary properties. Using built-in dictionary methods and functions.

Dictionary AccessModificationMethodsFunctions

12. Functions in Python

Defining and calling functions. Understanding parameter passing: reference vs. value. Required and keyword arguments. Scope of variables: local vs. global.

Function DefinitionParametersArgumentsScope

13. Object oriented programming

Introduction to classes and objects in Python. Importing modules using import, from, and from ... import *.

ClassesObjectsModule ImportsOOP Concepts

14. Working with Modules and Packages

Writing and executing Python modules as scripts. Locating and using external modules. Understanding the Python Path variable. Creating and managing packages.

ModulesScriptsExternal ModulesPackages

15. File Handling

Printing outputs and reading input from users. Using input() function. Opening, reading, writing, and closing files. File object properties and file manipulations (rename/delete).

File I/OInput FunctionFile OperationsFile Properties

16. Exception Handling

Understanding standard exceptions and assertions. Handling exceptions using try, except, and finally. Working with multiple exceptions and raising custom exceptions.

ExceptionsTry/ExceptFinallyCustom Exceptions

17. Database Programming with MySQL

Introduction to MySQL and common data types. Establishing connections with Python. Implementing CRUD executions (Create, Read, Update, Delete).

MySQL BasicsPython ConnectionCRUD OperationsData Types

18. Html, CSS, bootstrap & javascript

Basics of HTML including its commonly used tags and layout structure. Thorough sessions regarding CSS selectors, attributes, and styling procedure like inline, internal, and external styles, are inside CSS learning. Bootstrap: Summary of responsive web design, grid-based layout, built-in components, and utility classes. JavaScript: Basics and syntax, Event handling, Form validation using JS

HTML BasicsCSS StylingBootstrap FrameworkJavaScript Fundamentals

19. Git & GitHub

Introduction to version control. Creating and managing repositories. Using Git for tracking code changes and collaboration.

Version ControlRepositoriesCode TrackingCollaboration

20. Introduction to Django

Django vs. Flask overview. Installing and configuring Django. Creating apps and routing with URLs and views. MVC structure in Django (Model, View, Controller). Template integration for frontend rendering. Handling forms and form validations. Connecting Django with MySQL for dynamic data-driven applications.

Django FrameworkMVC ArchitectureTemplatesFormsMySQL Integration

Frontend Development

18. Html, CSS, bootstrap & javascript

• Basics of HTML including its commonly used tags and layout structure.

• Thorough sessions regarding CSS selectors, attributes, and styling procedure like inline, internal, and external styles, are inside CSS learning.

• Bootstrap: Summary of responsive web design, grid-based layout, built-in components, and utility classes.

• JavaScript:

• Basics and syntax

• Event handling

• Form validation using JS

Version Control

19. Git & GitHub

• Introduction to version control.

• Creating and managing repositories.

• Using Git for tracking code changes and collaboration.

Python Web Framework – Django

20. Introduction to Django

• Django vs. Flask overview.

• Installing and configuring Django.

• Creating apps and routing with URLs and views.

• MVC structure in Django (Model, View, Controller).

• Template integration for frontend rendering.

• Handling forms and form validations.

• Connecting Django with MySQL for dynamic data-driven applications.

Project Work

Capstone Projects

2

Mini Projects focusing on CRUD operations using Django framework.

1

Major Project: Develop a complete web application integrating:

• Python (backend)

• Django (framework)

• MySQL (database)

• HTML, CSS, JavaScript, and moreover Bootstrap (frontend)

These projects assist students to apply everything they've learned in the real-world scenarios. From form handling and user authentication to dynamic data rendering and database integration, learners experience the complete development cycle

Course Outcome

After achieving this Python Fullstack course, you will become efficient to:

Write clean, efficient Python code.
Build web applications using Django.
Create responsive frontend designs using HTML, CSS, JS, and Bootstrap.
Handle databases using MySQL.
Understand version control using Git & GitHub.
Work on full-stack projects with confidence and clarity.

This course enables learners to acquire entry-level jobs such as Python Full Stack Developers, Backend engineers, or Web app developers.

Ready to Become a Python Full Stack Developer?

Enroll in our Python Full Stack Development Course to gain the skills for a rewarding career in web development.

From Python basics to Django, front-end technologies, and database integration, you'll be equipped to build complete web applications.