This document provides information about the Python Programming course offered in the third year of a B.Tech program. The course aims to teach students the basics of Python programming language including data types, operators, control structures, functions, modules, strings, regular expressions, sequences, object-oriented concepts, inheritance, exception handling, and commonly used Python libraries like NumPy and Pandas. Students will be evaluated through mid-semester exams, presentations, and a final written exam.

1. Course Handout
Date: 21/10/2022
Course No. : A53026
Course Title : Python Programming
Course Coordinator : Ms. V.Jyothi
1.Syllabus:
B. Tech III Year II Semester Dept. of Computer Science and
Engineering
Code Category
Hours /
Week
Credits Marks
A53026 PCC
L T P C CIE SEE Total
3 0 0 2 40 60 100
Prerequisites:
None
Course objectives
1. Understand the basics and function of Python Programming Language.
2. Understand the string operation and sequences used in Python Programming Languages.
3.Understand the data structures used in Python Programming Languages.
4. Know the classes and objects in Python Programming Language.
5.Use the reusability concepts in Python Programming Language.
Course Outcomes:
1.Apply control structures, functions and packages in Problem Solving. (L3)
2.Analyze various String handling functions and data structures(L4)
3.Model the object-oriented problems with classes and objects (L4)
4.Solve the problems by using Inheritance and polymorphism (L3)
5.Illustrate programs on Exception Handling and various packages(L3)
UNIT -I:
Introduction to Python:
Features of Python Language, Data Types, Operators, Expressions, Control Statement, Standard
I/O Operations.
Functions and Modules:
Declaration and Definition Function Calling, More on Defining Functions, Recursive Functions,
Modules, Packages in Python, Doc Strings.

2. UNIT -II:
Strings and Regular Expressions:
String Operations, Built-in String Methods and Functions, Comparing Strings, function in
Regular Expression.
Sequence: List, Tuples, Dictionaries, Sets.
UNIT -III:
Introduction to Object Oriented Programming:Features of OOP,Merits and demerits of
Object Oriented Programming Languages,Applications of OOP
Implementation of classes and objects in Python:
Classes and Objects, Class Method and Self Argument. The __init__Method, Class Variables and
Object Variables, The __del__Method, Public and Private Data Members, Private Methods, Built-
in Functions to Check, Get, Set and Delete Class Attributes, Garbage Collection (Destroying
Objects).
UNIT -IV:
Implementation of Inheritance in Python:
Inheriting Classes in Python, Types of Inheritance, Abstract Classes and Interfaces, Meta class,
Implementation of Operator Overloading in Python:
Introduction, Implementing Operator Overloading, Overriding Methods
Exception Handling in Python:
Introduction, Exception hierarchy, Handling Exception, Multiple Except Blocks and Multiple
Exceptions, Finally Block.
UNIT -V:
Python NumPy: NumPy ND array, Data Types, Functions of NumPy Array, NumPy Array
Indexing, Mathematical Functions on Arrays in NumPy
Python Pandas: Pandas Features, Dataset in Pandas, Data Frames, Manipulating the Datasets,
Describing a Dataset, group by Function, Filtering, Missing Values in Pandas, Concatenating
Data Frames. Import data from csv file.
Introduction to Matplotlib :, Plot, Scatterplot, Introduction to Tkinter ,Date and Time
Packages.
Text Books:
1.ReemaThareja,Python Programming using Problem Solving Approach, First
Edition,Oxford Higher Eduction,2017
2.James Payne, Beginning Python using Python 2.6 and Python 3,1st Edition
Reference Books:
1.Charles Dierach, Introduction to Computer Science using Python,2013
2. https://www.programiz.com/python-programming
3. https://www.javatpoint.com/python-tutorial
4.. https://www.geeksforgeeks.org/python-programming-language/

3. 2. Lecture Plan:
S.
No.
Topic
No of
Lecture
Hours
Teaching
Learning
Process
UNIT-1
1 Introduction to Python 1
Chalk &
Board
2 Features of Python Language, Data Types, Operators 1
Chalk &
Board
3 Data Types, Operators 3
Power point
Presentation
4
Expressions, Control Statement
2
Chalk &
Board
5
Standard I/O Operations
1
Chalk &
Board
6 More on Defining Functions, Recursive functions 1
Chalk &
Board
7 Doc Strings 1
Chalk &
Board
8 Built-in Functions 1
Chalk &
Board
UNIT-2
1
Strings and Regular Expressions: 2 Chalk &
Board
2
String Operations, Built-in String Methods and
Functions,
3 Chalk &
Board
3
sequence: List, Tuples, Dictionaries, Sets. 1 Chalk &
Board
4
List 1 Chalk &
Board
5
Tuples 1 Chalk &
Board
6
Dictionaries, Sets. 1 Chalk &
Board
UNIT-3
1
Introduction to Object Oriented Programming:Features
of OOP,
2 Chalk &
Board
2
Merits and demerits of
Object Oriented Programming
1 Chalk &
Board
4
Applications of OOP
Implementation of classes and objects in Python:
1 Chalk &
Board

4. 5
Class Method and Self Argument. __init__Method,
del__Method
1 Chalk &
Board
Public and Private Data Members, Private Methods, 1 Chalk &
Board
6
Built- in Functions to Check, Get, Set and Delete Class
Attributes, Garbage Collection (Destroying
Objects).
2 Chalk &
Board
UNIT-4
1 Implementation of Inheritance in Python 1
2
Inheriting Classes in Python, Types of Inheritance,
1 Chalk &
Board
3
Abstract Classes and Interfaces,
1 Chalk &
Board
4 Meta class, Implementation of Operator Overloading in
Python
Introduction, Implementing Operator Overloading
1 Power point
Presentation
5 Overriding Methods 2 Chalk &
Board
6 Exception Handling in Python: Introduction, Exception
hierarchy, Handling Exception,
2 Chalk &
Board
7 Multiple Except Blocks 2 Power point
Presentation
8 Exceptions, Finally Block. 2 Power point
Presentation
UNIT-5
1 NumPy: NumPy ND array, Data Types, Functions of
NumPy Array, NumPy Array
Indexing, Mathematical Functions on Arrays in NumPy
2 Power point
Presentation
2 Python Pandas: Pandas Features, Dataset in Pandas, Data
Frames, Manipulating the Datasets,
2 Power point
Presentation
3
Introduction to Matplotlib :, Plot, Scatterplot,
2 Power point
Presentation
4 Date and Time
Packages.
2 Power point
Presentation
5
Introduction to Tkinter
1 Power point
Presentation
Total contact classes for Syllabus coverage : 49

5. 3. Articulation Matrix- Course Outcomes to Program Outcomes Mapping:
Program Outcome’s
Program Specific
Outcome’s
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO1
1
PO1
1
PO1
2
PSO
1
PSO
2
PSO
3
CO
1
- 2 3 - 2 - 2 - - - - - 3 3 3
CO
2
- 2 3 2 2 - 2 - - - - - 3 3 3
CO
3
- 3 2 3 - - - - - - - - 3 3 3
CO
4
- 2 3 2 3 - - - - - - 2 3 3 3
CO
5
- 3 3 3 2 2 - - - - - 2 3 3 3
1 - Slight 2 - Moderate 3 - Substantial
4. Evaluation scheme:
S.
No.
Evaluation
Components
Nature of
Component
Duration Maximum
Marks
Weightage Date & Time
1 MID I Closed Book 90 minutes 20 20 %(Average
of Two Mid
Examinations)
27/10/2022
2 MID II Closed Book 90 minutes 20 22/12//2022
3 Other
Evaluation I
*Presentation
case study
30 minutes 20 20 %
(Average of
Best of at least
Two
Evaluations)
To be
announced
4 Other
Evaluation II
* Presentation
case study
Minimum
4 Weeks
20 To be
announced
5 Semester End
Exam
Closed Book 3 hours. 60 60 % To be
announced
* Students are encouraged to team up with other students (a max. of 6 students / group). The
instructor can help students to team-up. This effort will enhance their communication skills and
confidence levels.