Description

This comprehensive Python Programming course is designed for beginners and aspiring developers who want to build a strong foundation in programming. Starting with Python basics, you'll gradually move to advanced topics such as object-oriented programming, file handling, database connectivity, APIs, web development, automation, and data analysis. Whether you're preparing for a career in software development, data science, automation, or backend development, this course provides practical projects and real-world examples to help you gain hands-on experience.

What You'll Learn

• Build Python applications from scratch.
• Understand Python syntax, variables, data types, and operators.
• Master conditional statements and loops.
• Create reusable code using functions and modules.
• Work with lists, tuples, dictionaries, and sets.
• Apply Object-Oriented Programming (OOP) concepts.
• Read from and write to files using Python.
• Handle errors and exceptions effectively.
• Connect Python with SQL databases.
• Build REST APIs using Flask or Django.
• Automate repetitive tasks with Python scripts.
• Learn web scraping using BeautifulSoup and Selenium.
• Analyze data using NumPy and Pandas.
• Create data visualizations with Matplotlib and Seaborn.
• Develop real-world projects and deploy Python applications.

Requirements

• Basic understanding of computer usage.
• No prior programming knowledge required.
• Internet connection for downloading Python and tools.
• A computer with Windows, macOS, or Linux.
• Willingness to practice coding exercises.

Curriculum

45 Lectures | 40 Hours

Module 1: Introduction to Python

• What is Python?
• Installing Python & VS Code
• Running Your First Python Program

Module 2: Python Basics

• Variables and Data Types
• Input and Output
• Operators
• Comments

Module 3: Control Flow

• If, Else, and Elif Statements
• Nested Conditions
• Match-Case (Python 3.10+)

Module 4: Loops

• For Loop
• While Loop
• Break, Continue, Pass
• Loop Exercises

Module 5: Functions

• Creating Functions
• Function Arguments
• Lambda Functions
• Recursion

Module 6: Data Structures

• Lists
• Tuples
• Dictionaries
• Sets
• List Comprehensions

Module 7: Object-Oriented Programming (OOP)

• Classes and Objects
• Constructors
• Inheritance
• Polymorphism
• Encapsulation
• Abstraction

Module 8: File Handling

• Reading Files
• Writing Files
• CSV Files
• JSON Files

Module 9: Exception Handling

• Try, Except
• Finally
• Custom Exceptions

Module 10: Modules and Packages

• Importing Modules
• Creating Packages
• Virtual Environments
• pip Package Manager

Module 11: Database Programming

• SQLite
• MySQL Connection
• CRUD Operations

Module 12: Web Development with Flask

• Introduction to Flask
• Routing
• Templates
• Forms
• REST API Basics

Module 13: Python Automation

• Email Automation
• File Automation
• Excel Automation
• PDF Processing

Module 14: Web Scraping

• BeautifulSoup
• Requests Library
• Selenium Basics

Module 15: Data Analysis

• NumPy Fundamentals
• Pandas DataFrames
• Data Cleaning
• Matplotlib
• Seaborn

Module 16: Final Projects

• Student Management System
• Expense Tracker
• Weather Application
• To-Do List Application
• REST API Project