Course Details

Become a job-ready Python Developer through a practical, project-based learning experience. This course takes you from Python fundamentals to advanced programming, database management, backend development, API development, and real-world application building. Learn Python programming, Object-Oriented Programming, data structures, exception handling, file handling, SQL, MySQL, REST APIs, Flask, Git, and deployment. Build practical projects throughout the course to strengthen your coding and problem-solving skills. By the end of the course, you will be able to develop complete Python applications, work with databases and APIs, build backend services, and prepare for Python Developer internships and entry-level jobs.

Module 1: Python Fundamentals
• Introduction to Python
• Features and Applications of Python
• Installing Python and Setting Up VS Code
• Python Syntax
• Variables and Data Types
• Operators
• Input and Output
• Conditional Statements
• For and While Loops
• Break, Continue and Pass

Module 2: Python Data Structures
• Strings
• Lists
• Tuples
• Sets
• Dictionaries
• List Comprehension
• Dictionary Comprehension
• Working with Nested Data Structures
• Common Built-in Functions

Module 3: Functions & Modules
• Defining and Calling Functions
• Function Parameters
• Return Values
• Default and Keyword Arguments
• *args and **kwargs
• Lambda Functions
• Modules
• Packages
• Importing Modules
• Creating Custom Modules

Module 4: Object-Oriented Programming
• Introduction to OOP
• Classes and Objects
• Constructors
• Instance and Class Variables
• Methods
• Inheritance
• Encapsulation
• Polymorphism
• Abstraction
• Magic Methods

Module 5: Exception & File Handling
• Understanding Exceptions
• Try and Except
• Finally Block
• Raise Statement
• Custom Exceptions
• Reading and Writing Files
• Working with CSV Files
• Working with JSON Files
• File Handling Best Practices

Module 6: Advanced Python
• Iterators
• Generators
• Decorators
• Regular Expressions
• Context Managers
• Type Hints
• Virtual Environments
• Package Management with PIP
• Python Best Practices

Module 7: SQL & MySQL
• Introduction to Databases
• Relational Database Concepts
• MySQL Fundamentals
• Creating Databases and Tables
• SELECT Queries
• INSERT, UPDATE and DELETE
• Filtering and Sorting Data
• Aggregate Functions
• GROUP BY and HAVING
• Joins
• Primary and Foreign Keys
• Database Relationships

Module 8: Python Database Connectivity
• Connecting Python with MySQL
• Database Queries using Python
• CRUD Operations
• Prepared Statements
• Transactions
• Database Error Handling
• Building Database-Driven Applications

Module 9: Backend Development with Flask
• Introduction to Backend Development
• Introduction to Flask
• Flask Project Setup
• Routes and Views
• Templates
• Forms
• Request and Response
• Sessions and Cookies
• Application Structure
• Building Flask Applications

Module 10: REST APIs
• Introduction to REST APIs
• HTTP Methods
• GET, POST, PUT and DELETE
• JSON Data
• API Requests and Responses
• Creating APIs with Flask
• API Validation
• Error Handling
• API Testing with Postman
• Connecting APIs with Frontend Applications

Module 11: Authentication & Security
• User Registration and Login
• Password Hashing
• Session-Based Authentication
• Token-Based Authentication
• JWT Fundamentals
• Protected Routes
• Role-Based Authorization
• Input Validation
• Backend Security Best Practices

Module 12: Git & Deployment
• Introduction to Git
• GitHub Basics
• Creating Repositories
• Version Control
• Git Branching
• Managing Python Projects with GitHub
• Environment Variables
• Production Configuration
• Application Deployment
• Hosting Python Applications

Module 13: Real-World Projects
• Calculator Application
• Expense Tracker
• Student Management System
• Employee Management System
• Blog Application
• REST API Project
• Task Management Application
• E-Commerce Backend
• Final Python Web Application

Module 14: Career Preparation
• Python Developer Interview Questions
• Python Coding Challenges
• OOP Interview Preparation
• SQL Interview Preparation
• Backend Development Questions
• API Interview Preparation
• GitHub Portfolio Preparation
• Resume Project Presentation
• Building a Python Developer Portfolio
• Internship and Job Preparation