PYTHON APPLICATION PROGRAMMING

Course Code:18CS752

CIA Marks:40

Number of Lecture Hours/Week:3:0:0

Exam Marks:60

Total Number of Lecture Hours:40

Exam Hours:03

CREDITS – 03

Course Learning Objectives:This course (18CS752) will enable students to

• Learn Syntax and Semantics and create Functions in Python.

• Handle Strings and Files in Python.

• Understand Lists, Dictionaries and Regular expressions in Python.

• Implement Object Oriented Programming concepts in Python

• Build Web Services and introduction to Network and Database Programmingin Python.

Lesson Plan

Module – 1

Why should you learn to write programs, Variables, expressions and statements, Conditional execution, Functions Textbook 1: Chapters 1 – 4 RBT: L1, L2, L3

Module – 2

Iteration, Strings, Files Textbook 1: Chapters 5– 7 RBT: L1, L2, L3

Module – 3

Lists, Dictionaries, Tuples, Regular Expressions Textbook 1: Chapters 8 - 11 RBT: L1, L2, L3

Module – 4

Classes and objects, Classes and functions, Classes and methods Textbook 2: Chapters 15 – 17 RBT: L1, L2, L3

Module – 5

Networked programs, Using Web Services, Using databases and SQL Textbook 1: Chapters 12– 13, 15 RBT: L1, L2, L3

PAP_18CS752_NOTES

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.dr-chuck.com/pythonlearn/EN_us/pythonlearn.pdf )

2. Allen B. Downey, "Think Python: How to Think Like a Computer Scientist”, 2ndEdition, 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",1st Edition, Wiley India Pvt Ltd, 2015. ISBN-13: 978-8126556014

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

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

4. Roberto Tamassia, Michael H Goldwasser, Michael T Goodrich, “Data Structures and Algorithms in Python”,1stEdition, 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

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