M3-R5: Programming and Problem Solving through Python

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Overview

This module introduces programming concepts and problem-solving techniques using the Python programming language.

For detailed syllabus, refer to the official NIELIT document, visit: O Level (IT) Syllabus [PDF]

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Course Outline

S.NoTopicWritten Marks (Max.)
1.Introduction to Programming, Algorithm and Flowcharts to solve problems20
2.Introduction to Python, Operators, Expressions and Python Statements, Sequence data types30
3.Functions, File Processing, Modules40
4.NumPy Basics10

Detailed Topics

Introduction to Programming

  • Basic Model of computation
  • Algorithms and flowcharts
  • Programming Languages
  • Compilation, testing & debugging
  • Documentation

Algorithms and Flowcharts

  • Flow Chart Symbols
  • Sequential processing
  • Decision-based processing
  • Iterative processing
  • Basic algorithms including
  • Variable exchange
  • Number summation
  • Base conversion
  • Integer manipulation
  • GCD calculation
  • Prime number testing
  • Factorial computation
  • Fibonacci sequence
  • Series evaluation
  • Array operations
  • Matrix operations

Python Fundamentals

  • Python Introduction
  • Technical Strengths
  • Interpreter and execution
  • Comments and Literals
  • Built-in Data types
  • Numbers (Integer, Float, Complex)
  • Strings operations
  • Console I/O

Control Structures

  • Assignment and expressions
  • Operators (Arithmetic, Relational, Logical, Bitwise)
  • Operator precedence
  • Conditional statements
  • Iterative computation
  • Loop control statements

Sequence Data Types

  • Lists and operations
  • Tuples and operations
  • Dictionaries and operations
  • Mutability concept
  • Practical applications

Functions

  • Top-down problem solving
  • Modular programming
  • Function parameters
  • Variable scope
  • Documentation
  • Library functions
  • String manipulation
  • Numeric functions
  • Date & Time functions
  • Recursion

File Processing

  • File concepts
  • File modes
  • File operations
  • Command Line arguments

Modules

  • Scope and LEGB Rule
  • Module basics
  • Namespaces
  • Import system

NumPy Basics

  • ndarray introduction
  • Data types
  • Array attributes
  • Array creation
  • Array operations
  • Indexing and Slicing

Resources

O Level (IT) Syllabus [PDF]