Syllabus

Module 1: (6 hours)
Setting up Python environment and learn how to use it. Handling strings, input() and print() statements. Variables, assignment, and string concatenation. Introduction to List methods, List slicing, and IF/ELSE constructs.

Module 2: (6 hours)
Introduction to FOR loop. FOR loop with IF/ELSE statement. Handling integer, floats, and introduction to arithmetic operations. Introduction to the Python module RANDOM, finding the probability distribution of the outcomes of throwing two or more dice.

Module 3 (6 hours)
The WHILE loop and the logical operators AND, OR, NOT, NOT IN. Introduction to the data type Boolean. Lists and arithmetic operations, nested FOR loops, list FLATTENING.

Module 4: (9 hours)
Introduction to the data type DICTIONARY and list of dictionaries. Application of dictionaries. User defined FUNCTION and DATABASE creation.

Module 5: (9 hours)
Working with files: reading from a file, working with a file’s contents, writing to a file , storing data. Creating and using a CLASS.

To familiarize students with the Python programming, including variables, strings, lists, and control flow structures.

To develop problem-solving skills using loops (FOR and WHILE) and logical operators.

To introduce fundamental data structures like lists and dictionaries, and their practical applications in data handling and storage.

To provide hands-on experience with object-oriented programming concepts, file handling, and database creation in Python.

At the end of the course, students will be able to:
CO1: Set up a Python environment and effectively use basic programming constructs.

CO2: Demonstrate proficiency in using loops (FOR, WHILE) and conditional statements.

CO3: Implement Python's built-in data structures and apply them in real-world scenarios.

CO4: Gain the ability to design user-defined functions, create and use classes, and manage file operations.

S. Bonaretti, Learn Python with Jupyter, www.learnpythonwithjupyter.com.

E. Matthes, Python Crash Course, No Starch Press (2023).

A. Sweigart, Automate the Boring Stuff with Python, No Starch Press (2024).

A. B. Downey, Think Python, O’Reilly (2024).