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6TH SEM CSE VTU SYLLABUS : PYTHON APPLICATION PROGRAMMING (15CS664)

PYTHON APPLICATION PROGRAMMING

[As per Choice Based Credit System (CBCS) scheme]

                                      (Effective from the academic year 2016 -2017)

SEMESTER – VI

Sub Code : 15CS664 IA Marks : 20  Hours per Week : 3 Hours  Exam Marks : 80  Lecture Hours : 40  Exam Hours : 3 Hours

SYLLABUS

Module – 1 : Why should you learn to write programs, Variables, expressions and statements,

Conditional execution, Functions –8Hours

Module – 2 : Iteration, Strings, Files –8 Hours
Module – 3 : Lists, Dictionaries, Tuples, Regular Expressions–8 Hours
Module – 4 : Classes and objects, Classes and functions, Classes and methods–8 Hours
Module – 5 : Networked programs, Using Web Services, Using databases and SQL–8 Hours

Course objectives: This course 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 Programming in Python.

Course outcomes: The students should 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.

There will be TWO questions from each module.
Each question will have questions covering all the topics under a module.
The students will have to answer FIVE full questions, selecting ONE full question from each module.

Text Books:

1. Charles R. Severance, “Python for Everybody: Exploring Data Using Python 3”, 1^st Edition, CreateSpace Independent Publishing Platform, 2016. (http://do1.drchuck.com/pythonlearn/EN_us/pythonlearn.pdf ) (Chapters 1 – 13, 15)
2. Allen B. Downey, "Think Python: How to Think Like a Computer Scientist”, 2ndEdition, Green Tea Press, 2015. http://greenteapress.com/thinkpython2/thinkpython2.pdf) (Chapters 15, 16, 17)(Download pdf files from the above links)

Reference Books:

1. Charles Dierbach, "Introduction to Computer Science Using Python", 1st Edition, Wiley India Pvt Ltd. ISBN-13: 978-8126556014
2. Mark Lutz, “Programming Python”, 4th Edition, O’Reilly Media, 2011.ISBN-13: 978-9350232873
3. Wesley J Chun, “Core Python Applications Programming”, 3rd Edition,Pearson Education India, 2015. ISBN-13: 978-9332555365
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