About Course

Python Programming Course

Platform: Shivprasad Education Point
Course Level: Beginner to Advanced
Duration: 8–10 Weeks (Flexible)
Mode: Online / Offline
Prerequisites: None (Basic computer knowledge recommended)

Course Overview

This Python Programming course is designed to take students from absolute basics to advanced, job-ready Python skills. The course focuses on hands-on learning with real-world examples, mini-projects, and practical assignments. By the end of the course, learners will be confident in writing Python programs, working with data, and building simple applications.

Learning Outcomes

By completing this course, students will be able to:

Understand Python fundamentals and syntax
Write clean and efficient Python programs
Work with data structures and files
Apply Object-Oriented Programming (OOP) concepts
Handle errors and exceptions
Build real-world mini projects
Prepare for interviews and entry-level Python roles

Course Curriculum

Module 1: Introduction to Python

What is Python?
History and Applications of Python
Installing Python & IDE Setup (VS Code / PyCharm)
First Python Program
Python Syntax & Indentation

Module 2: Python Basics

Variables and Data Types
Type Casting
Operators (Arithmetic, Logical, Comparison)
Input and Output Functions
Comments and Code Structure

Module 3: Control Flow

Conditional Statements (if, elif, else)
Loops (for, while)
break, continue, pass
Practical Examples and Exercises

Module 4: Data Structures

Strings and String Methods
Lists and List Operations
Tuples and Sets
Dictionaries
Practical Use Cases

Module 5: Functions and Modules

Defining and Calling Functions
Function Arguments & Return Values
Lambda Functions
Built-in Functions
Creating and Importing Modules

Module 6: Object-Oriented Programming (OOP)

Classes and Objects
Constructors (init)
Inheritance
Polymorphism
Encapsulation
Real-life OOP Examples

Module 7: File Handling & Exception Handling

Reading and Writing Files
Working with CSV and Text Files
Try, Except, Finally
Custom Exceptions

Module 8: Advanced Python Basics

List Comprehension
Dictionary Comprehension
Iterators and Generators
Working with Date & Time
Python Virtual Environment

Module 9: Introduction to Libraries

NumPy Basics
Pandas Basics
Matplotlib (Basic Data Visualization)
Overview of Python in Data Science

Module 10: Projects & Practical Training

Mini Project 1: Student Management System
Mini Project 2: Simple Calculator / To-Do App
Mini Project 3: File-Based Application
Final Project & Presentation

Assessments & Certification

Weekly Assignments
Module-wise Tests
Final Project Evaluation
Certificate of Completion from Shivprasad Education Point

Career Opportunities After This Course

Python Developer (Fresher)
Junior Software Developer
Data Analyst (Entry Level)
Automation Tester
Further learning in Data Science, AI & Web Development

Who Should Join This Course?

School & College Students
Beginners in Programming
Working Professionals
Anyone interested in learning Python from scratch