VTU 2022 Scheme  ·  Degree  ·  CSE / AIML

Introduction to Python Programming BPLCK105B/205B

Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack BPLCK105B/205B in one focused page.

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CodeBPLCK105B/205B
Credits03
CIE / SEE50 / 50
TypeTheory
Exam3 Hours
Hours / Week2:0:2:0
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Last Updated:  15 March 2026

Module Overview

M1

Module 1 Overview

Python Basics (08 hrs): Entering Expressions into the Interactive Shell, The Integer, Floating-Point, and String Data Types, String Concatenation and Replication, Storing Values in Variables, Your First Program, Dissecting Your Program,

Flow control: Boolean Values, Comparison Operators, Boolean Operators, Mixing Boolean and Comparison Operators, Elements of Flow Control, Program Execution, Flow Control Statements, Importing Modules, Ending a Program Early with sys.exit(),

Functions: def Statements with Parameters, Return Values and return Statements, The None Value, Keyword Arguments and print(), Local and Global Scope, The global Statement, Exception Handling, A Short Program: Guess the Number.

Textbook 1: Chapters 1 - 3

M2

Module 2 Overview

Lists (08 hrs): The List Data Type, Working with Lists, Augmented Assignment Operators, Methods, Example Program: Magic 8 Ball with a List, List-like Types: Strings and Tuples, References,

Dictionaries and Structuring Data: The Dictionary Data Type, Pretty Printing, Using Data Structures to Model Real-World Things.

Textbook 1: Chapters 4 - 5

M3

Module 3 Overview

Manipulating Strings (08 hrs): Working with Strings, Useful String Methods, Project: Password Locker, Project: Adding Bullets to Wiki Markup. Reading and Writing Files: Files and File Paths, The os.path Module, The File Reading/Writing Process, Saving Variables with the shelve Module, Saving Variables with the print.format() Function, Project: Generating Random Quiz Files, Project: Multiclipboard.

Textbook 1: Chapters 6, 8

M4

Module 4 Overview

Organizing Files (08 hrs): The shutil Module, Walking a Directory Tree, Compressing Files with the zipfile Module, Project: Renaming Files with American-Style Dates to European-Style Dates, Project: Backing Up a Folder into a ZIP File.

Debugging: Raising Exceptions, Getting the Traceback as a String, Assertions, Logging, IDLE"Ÿs Debugger.

Textbook 1: Chapters 9-10

M5

Module 5 Overview

Classes and objects (08 hrs): Programmer-defined types, Attributes, Rectangles, Instances as return values, Objects are mutable, Copying.

Classes and functions: Time, Pure functions, Modifiers, Prototyping versus planning.

Classes and methods: Object-oriented features, Printing objects, Another example, A more complicated example, The init method, The __str__ method, Operator overloading, Type-based dispatch, Polymorphism, Interface and implementation.

Textbook 2: Chapters 15 - 17

Resource Explorer

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Frequently Asked Questions

What is BPLCK105B/205B (Introduction to Python Programming BPLCK105B/205B)?

Introduction to Python Programming BPLCK105B/205B is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.

How many credits is BPLCK105B/205B?

Credits for BPLCK105B/205B: 03.

Are notes and previous year question papers available for BPLCK105B/205B?

Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.

How should I prepare Introduction to Python Programming BPLCK105B/205B for VTU exams?

Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.

Is this BPLCK105B/205B page updated for current VTU scheme?

Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.

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About Introduction to Python Programming /205B (BPLCK105B)

Introduction to Python Programming /205B (BPLCK105B) is a critical course in the VTU curriculum, essential for any student looking to master the foundations of engineering. It covers key theoretical frameworks and practical concepts that are widely used in the industry today, ensuring students are well-prepared for both exams and their future careers.

Success Strategy

Focus on the code/logic implementations. Writing efficient pseudo-code or ALP instructions correctly will secure your pass marks easily.

📘 Detailed Syllabus & Topic Breakdown

Detailed Subject Overview

Introduction to Python Programming /205B (BPLCK105B) is designed to provide a comprehensive look into the core methodologies and advanced theories that define this field. Understanding this subject is fundamental for anyone looking to excel in modern technical domains and industrial engineering.

By studying this course, you will learn how to approach complex problems with a structured mindset, optimizing systems for better performance and reliability—skills that are highly valued in both AI research and software architecture.

Module-by-Module Breakdown

Module 1
Essential

Master the Python Basics (08 hrs) Entering Expressions into the Interactive Shell, The Integer, Floating-Point, and String Data Types, String Concatenation and Replication, Storing Val...

Key: Exam Priority Concept
Module 2
Math Heavy

Master the Lists (08 hrs) The List Data Type, Working with Lists, Augmented Assignment Operators, Methods, Example Program: Magic 8 Ball with a List, List-like Types: Strings a...

Key: Exam Priority Concept
Module 3
Logic Core

Master the Manipulating Strings (08 hrs) Working with Strings, Useful String Methods, Project: Password Locker, Project: Adding Bullets to Wiki Markup. Reading and Writing Files:

Key: Exam Priority Concept
Module 4
Exam Focus

Master the Organizing Files (08 hrs) The shutil Module, Walking a Directory Tree, Compressing Files with the zipfile Module, Project: Renaming Files with American-Style Dates to European-...

Key: Exam Priority Concept
Module 5
High Weight

Master the Classes and objects (08 hrs) Programmer-defined types, Attributes, Rectangles, Instances as return values, Objects are mutable, Copying....

Key: Exam Priority Concept

Professional Career Relevance

This subject provides a strong foundation for various technical roles, emphasizing analytical thinking, system design, and the practical application of engineering principles in the modern industry. Mastering these concepts prepares you for high-demand roles in Data Science, System Architecture, and Technical Leadership in top-tier tech companies.

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