Programming with Python

Course Title: Programming with Python

Course No: IT 243

Nature of the Course: Theory + Lab

Semester: 5

Credit Hours: 3

Course Description

This course covers different concepts of Python programming language including basic language features, operators, built-in data types, control statements, functions, object-oriented programming, exception handling, file handling, modules and packages, common libraries (NumPy, Pandas, and Matplotlib), GUI programming, database handling, and some concepts of web development.

Course Objectives

The main objective of this course is to provide students both theoretical and practical knowledge of different concepts of Python programming language. After completing this course, students will be able to learn importance of Python programming, learn basic programming concepts of Python programming language, use object-oriented concepts, learn file handling concepts, use some common Python libraries such as Numpy, Pandas, and Matplotlib, use GUI features, database handling, use basic concepts of Python web development.

Course Contents

1. Introduction

3 hrs

1.1. Python Introduction

1.2. Why Python?

1.3. Installing and Running Python using Interactive Shell and Console

1.4. Using IDLE and IDE

1.5. Installing Third Party Libraries

1.6. Working with Virtual Environment

1.7. Writing Comments

1.13. Variables and Constants

1.14. The id() function

1.15. Operators

2. Control Statements

4 hrs

2.1. Introduction

2.2. Selection Statements

if statements

match-case statement

2.3. Using if-else as Ternary Operator

2.4. Looping Statements

for Loops

while Loops

2.5. The else Clause after for or while Loops

2.6. The break and continue Statements

2.7. The pass Statement

3. Built-In Data Types

8 hrs

3.1. Introduction

3.2. Numeric Types

Integers

Floating Point Numbers

Complex Numbers

3.3. String

Indexing and Slicing

String Formatting

Escape Sequences

3.4. Boolean

3.5. List

Indexing and Slicing

Changing Items

Adding and Removing Items

Looping

Copying

List Comprehension

Sorting

Copying and Joining

3.6. Tuple

Updating

Indexing and Slicing

Unpacking

Looping

Joining

3.7. Set

Accessing

Adding and Removing Items

Set Operations

3 hrs

4.2. Benefits of using Functions

4.3. Creating and Calling Functions

4.4. Passing Arguments

4.5. Packing and Unpacking Arguments using Tuples and Dictionaries

4.6. Return Values and Returning Multiple Values

4.7. Recursive Function

4.8. Lambda Function

5. Object-oriented Programming

9 hrs

5.1. Introduction

5.2. Object-Oriented Principles

Classes and Objects

Encapsulation

Inheritance

Polymorphism

Abstraction

5.3. Defining a Class

Adding Instance Variables

Adding Instance Methods

Adding Class Variables

Adding Class Methods

Adding Static Methods

5.4. Constructors

5.5. Method Overloading

5.6. Inheritance and its Types

5.7. Method Overriding

5.8. Access Modifiers

5.9. Abstract Class

5.10. Operator Overloading

5.11. Magic Methods

5.12. Exception Handling

5.13. Modules and Packages

5.14. Enumeration

6. File Handling

3 hrs

6.1. Introduction

6.2. File Opening Models

6.3. Reading and Writing Files

6.4. The os Module and Common Functions

6.5. The with Statement

7. Common Python Libraries

8 hrs

7.1. Numpy

Introduction

Array Creating

Dimensions

Data Types

Array Attributes

Indexing and Slicing

Array Copy and View

Creating Array from Numerical Range

Array Broadcasting

Iterating Over Array

Sorting and Searching

Statistical Functions

7.2. Pandas

Series and DataFrames

Creating DataFrames

The head and tail Functions

Attributes

Working with Missing Data

Indexing, Slicing, and Subsetting

Merging and Joining DataFrames

Working with CSV Files

7.3. Matplotlib

Introduction

Marker

Line

Color

Label

Grid Lines

Subplot

Scatter Plot

Bar Graph

Histogram

Pie chart

Box plot

8. Advanced Topics

10 hrs

8.1. Working with Database and Using SQL Statements

8.2. Basics of GUI Programming

8.3. Basics of Web Development

Laboratory Works

The laboratory work includes writing programs using Python programming language covering all the concepts studied in each unit of the course.

1.Python Programs on Introduction
2.Python Programs on Control Statements
3.Python Programs on Built-In Data Types
4.Python Programs on Functions
5.Python Programs on Object-oriented Programming
6.Python Programs on File Handling
7.Python Programs on Common Python Libraries
8.Python Programs on Advanced Topics

Reference Books

1.Fabrizio Romano and Heinrich Kruger, Learn Python Programming – An in-depth Introduction to the fundamentals of Python, Third Edition, Packt Publishing, 2021
2.Kenneth A Lampart, Fundamental of python, Cengage Learning Publishing.
3.Cody Jackson (2018): Learn programming in Python with cody Jackson, Packt Publishing, Wesley.
4.Mark Summerfield: "Programming in Python 3: A Complete Introduction to the Python Language", Addison-Wesley Professional.

Notes:

This syllabus follows the official BIM curriculum of Tribhuvan University. In case of any doubt or revision, the university’s published syllabus shall be considered authoritative.https://www.fomecd.edu.np/syllabuses

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Programming with Python

Course Description

Course Objectives

Course Contents

Laboratory Works

Reference Books

Notes: