Course

Syllabus

1. Installing Python environments
2. Using Python Interpreter to do basic operations like arithmetic computations.
3. Working with variables of different datatypes and using them in expressions.
4. Implementing logic requiring conditional expressions and looping
5. Working with strings using inbuilt functionalities of the datatype
6. Working with Python inbuilt datatypes like Lists, Tuples and Dictionaries
7. Working with modularity: Implementing functions and designing logic in a modular fashion
8. Creating programs by importing user defined modules
9. Implement unit testing measures, assertions and exception handling
10. Creating programs to handle text files

Text Books / References

Text Book:

• Guttag, John. Introduction to Computation and Programming Using Python: With Application to Understanding Data Second Edition. MIT Press, 2016. ISBN: 9780262529624.

This labcourseintroduces the fundamentals of the Python language through hands-on practice, enabling students to write, debug, and execute python programs for various applications.

Course Outcomes: After successful completion of the course, students will be able

• CO1 : Understand the evaluation of expressions in python
• CO2 : Understand the logic and able to write control and looping statements
• CO3 : Work on sequence types, non-sequence types and text files
• CO4 : Create functions and modules
• CO5 : To handle the errors and exceptions

CO-PO Mapping