Course Overview

This course is designed for beginners and introduces the fundamental concepts of Python programming, a highly versatile and widely adopted language. Python's simplicity and readability make it an ideal starting point for those interested in software development, data science, artificial intelligence, or web development.

The course integrates theoretical knowledge with practical exercises, ensuring that students not only grasp Python syntax but also apply their skills in a real-world project by the course conclusion.

Learning Objectives

Upon completing this course, students will be able to:

• Comprehend Python syntax, variables, and data types.

• Utilize conditional statements, loops, and functions.

• Effectively use lists, dictionaries, and other data structures.

• Manage user input and basic error handling.

• Write clean, readable, and well-structured code.

• Implement learned concepts in a hands-on project.

Key Topics

1. Introduction to Python

• Understanding Python and its applications.

• Installing Python and setting up IDEs (IDLE, VS Code, Jupyter).

• Writing and executing your first Python program.

2. Variables and Data Types

• Numbers, strings, and booleans.

• Type conversion.

• Basic input and output operations.

3. Control Flow

• If-else conditions.

• Logical operators.

• Loops: for and while.

4. Functions

• Defining and invoking functions.

• Function parameters and return values.

• Scope and variable lifetime.

5. Data Structures

• Lists, tuples, and dictionaries.

• Indexing and slicing.

• Iterating through collections.

6. Error Handling

• Understanding errors and exceptions.

• Using try and except.

Hands-On Project: Personal Expense Tracker

Students will develop a simple Personal Expense Tracker application that enables users to:

• Add daily expenses with categories (e.g., food, transport, shopping).

• View total and category-specific expenses.

• Save data in a text file for future reference.

This project will allow students to integrate all the concepts learned throughout the course — variables, control flow, functions, data structures, and file handling — into a practical and functional Python program.

Conclusion

Upon course completion, students will possess a solid foundation in Python programming along with a working project to demonstrate their skills. This course will equip them for advanced Python applications in fields such as data science, web development, and automation.