Unit 1 Introduction to Python

7 lecture hours

• The basic elements of Python
• expressions and numerical Types
• Variables and assignments
• IDLE Branching programs
• Strings and Input
• Iteration Structured Types
• Mutability and Higher-order Functions: Tuples
• Lists and Mutability (Cloning and list comprehension)
• Tuples and Lists

Unit 2 Functions, Exception, Modules and Files Functions

6 lecture hours

• Difference between a Function and a Method
• Defining a Function
• Calling a Function
• Returning Results from a Function
• Returning Multiple Values from a Function
• Functions are First Class Objects
• Pass by Object Reference
• Formal and Actual Arguments
• Positional Arguments
• Keyword Arguments
• Default Arguments
• Variable Length Arguments
• Local and Global Variables
• The Global Keyword
• Passing a Group of Elements to a Function
• Recursive Functions
• Anonymous Functions or Lambdas (Using Lambdas with filter() Function
• Using Lambdas with map() Function
• Using Lambdas with reduce() Function)
• Function Decorators
• Structured Programming
• Creating our Own Modules in Python

Unit 3 Exception and File Handling

6 lecture hours

• Exceptions: Errors in a Python Program (Compile-Time Errors
• Runtime Errors
• Logical Errors)
• Exception Handling
• Types of Exceptions
• The Except Block
• the assert Statement
• User-Defined Exceptions
• Logging the Exceptions Files: Files
• Types of Files in Python
• Opening a File
• Closing a File
• Working with Text Files Containing Strings
• Knowing Whether a File Exists or Not, Working with Binary Files
• The with Statement
• Pickle in Python
• The seek() and tell() Methods

Unit 4 Classes and Object-oriented Programming

10 lecture hours

• Abstract Data Types and classes
• Encapsulation and Information hiding Mortgages and Extended Examples Case Study: Banking Application

Unit 5 Advanced Topics I

8 lecture hours

• Data Science and Data Visualization using Python Data Science Using Python: Data Frame (Creating Data Frame from an Excel Spreadsheet
• Creating Data Frame from .csv Files
• Creating Data Frame from a Python Dictionary
• Creating Data from Python List of Tuples
• Operations on Data Frames) Data Visualization: Bar Graph
• creating a Pie Chart
• Creating Line Graph Plotting: Plotting using PyLab
• Plotting mortgages and extended examples

Unit 6 Advanced Topics II

• Regular Expressions REs and Python: Regular Expressions
• Sequence Characters in Regular Expressions
• Quantifiers in Regular Expressions
• Special Characters in Regular Expressions
• Using Regular Expressions on Files
• Retrieving Information from a HTML File Case Study: Screen Scrapping 4 Program Name: Bachelor of Engineering Level: UG Subject Code: BE05000241 Subject Name: Python Programming w.e.f.2024-25 http://syllabus.gtu.ac.in/ Pageno.3of4

Unit 7 Python's Database Connectivity

4 lecture hours

• Verifying the MySQL dB Interface Installation
• Working with MySQL Database
• Using MySQL from Python
• Retrieving All Rows from a Table
• Inserting Rows into a Table
• Deleting Rows from a Table
• Updating Rows in a Table
• Creating Database Tables through Python