Syllabus Python Programming - (BE05000241) Total Credits = TH/30 Assessment Pattern and Marks Total Marks Theory Tutorial / Practical ESE (E) PA (M) PA (I) PBL (I) ESE (V) 03 70 30 20 30 50 200 Unit No. Content 1 Introduction to Python The basic elements of Python, Objects, expressions and numerical Types, Variables and assignments, IDLE Branching programs, Strings and Input, Iteration Structured Types, Mutability and Higher-order Functions: Tuples, Ranges, Lists and Mutability (Cloning and list comprehension), Strings, Tuples and Lists, Dictionaries. (Chapter - 1) 2 Functions, Exception, Modules and Files Functions : 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, Generators, Structured Programming, Creating our Own Modules in Python. (Chapter - 2) 3 Exception and File Handling Exceptions : Errors in a Python Program (Compile-Time Errors, Runtime Errors, Logical Errors), Exceptions, 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. (Chapter - 3) 4 Classes and Object-oriented Programming Abstract Data Types and classes, Inheritance, Encapsulation and Information hiding Mortgages and Extended Examples Case Study : Banking Application. (Chapter - 4) 5 Advanced Topics I : 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, Histogram, creating a Pie Chart, Creating Line Graph Plotting : Plotting using PyLab, Plotting mortgages and extended examples. (Chapter - 5) 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. (Chapter - 6) 7 Python's Database Connectivity Verifying the MySQL dB Interface Installation, Working with MySQLDatabase, 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. (Chapter - 7)
