18CS752 Python Application Programming syllabus for IS

Why should you learn to write programs, Variables, expressions and statements, Conditional execution, Functions

Textbook 1: Chapters 1 – 4

Iteration, Strings, Files

Textbook 1: Chapters 5– 7

Lists, Dictionaries, Tuples, Regular Expressions

Textbook 1: Chapters 8 - 11

Classes and objects, Classes and functions, Classes and methods

Textbook 2: Chapters 15 – 17

Networked programs, Using Web Services, Using databases and SQL Textbook 1: Chapters 12– 13, 15

Course Outcomes:

After studying this course, students will be able to

• Examine Python syntax and semantics and be fluent in the use of Python flow control and functions.
• Demonstrate proficiency in handling Strings and File Systems.
• Create, run and manipulate Python Programs using core data structures like Lists, Dictionaries and use Regular Expressions.
• Interpret the concepts of Object-Oriented Programming as used in Python.
• Implement exemplary applications related to Network Programming, Web Services and Databases in Python.

Question paper pattern:

• The question paper will have ten questions.
• Each full Question consisting of 20 marks
• There will be 2 full questions (with a maximum of four sub questions) from each module.
• Each full question will have sub questions covering all the topics under a module.
• The students will have to answer 5 full questions, selecting one full question from each module.

Text Books:

1. Charles R. Severance, “Python for Everybody: Exploring Data Using Python 3”, 1st Edition, CreateSpace Independent Publishing Platform, 2016. (http://do1.drchuck.com/pythonlearn/EN_us/pythonlearn.pdf )

2. Allen B. Downey, "Think Python: How to Think Like a Computer Scientist”, 2nd Edition, Green Tea Press, 2015. (http://greenteapress.com/thinkpython2/thinkpython2.pdf) (Download pdf files from the above links)

Reference Books:

1. Charles Dierbach, "Introduction to Computer Science Using Python",1 st Edition, Wiley India Pvt Ltd, 2015. ISBN-13: 978-8126556014

2. Gowrishankar S, Veena A, “Introduction to Python Programming”, 1 st Edition, CRC Press/Taylor & Francis, 2018. ISBN-13: 978-0815394372

3. Mark Lutz, “Programming Python”,4 th Edition, O‟Reilly Media, 2011.ISBN-13: 978- 9350232873

4. Roberto Tamassia, Michael H Goldwasser, Michael T Goodrich, “Data Structures and Algorithms in Python”,1st Edition, Wiley India Pvt Ltd, 2016. ISBN-13: 978-8126562176

5. Reema Thareja, “Python Programming Using Problem Solving Approach”, Oxford university press, 2017. ISBN-13: 978-0199480173