Course Content
1. Introduction to Python
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What is Python?
Features and uses of Python
Installing Python and IDEs (IDLE, PyCharm)
Running a Python program
2. Basic Programming Concepts
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Algorithms and flowcharts
Understanding programs: input → process → output
Python syntax and indentation
Writing and running simple programs
3.Data Types and Variables
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Data types: integer, float, string, Boolean
Variable declaration and assignment
Constants
Type conversion (casting)
4.Operators and Expressions
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Arithmetic operators: +, -, *, /, //, %, **
Relational operators: ==, !=, >, =, <=
Logical operators: and, or, not
Assignment operators: =, +=, -=, *=, /=
Operator precedence
5.Input and Output
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Using input() to take user input
Displaying output using print()
Formatting output (f-strings, concatenation)
6.Control Structures
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Conditional Statements: if, elif, else
Conditional Statements: Loops
Conditional Statements: Nested conditions
Conditional Statements: for loops (with range)
Conditional Statements: while loops
Conditional Statements: Nested loops
Conditional Statements: Loop control: break, continue, pass
7.Strings and String Manipulation
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String indexing and slicing
String methods: .upper(), .lower(), .strip(), .replace(), .split(), .join()
Concatenation and repetition
8.Lists and List Operations
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Creating lists
Accessing, modifying, and deleting elements
List methods: .append(), .insert(), .remove(), .pop(), .sort(), .reverse()
Iterating through lists
8 a). Searching and Sorting
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Linear search
Binary search
Bubble sort11. Functions
9.Defining Procedure and functions using def
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Local and global variables
Scope and lifetime of variables
Built-in functions vs user-defined functions
10.File Handling
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Reading from a file (read(), readline(), readlines())
Writing to a file (write(), writelines())
File modes: r, w, a, r+
11. Error Handling
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Common runtime errors
Syntax errors and logical errors
Using try, except blocks
12. Simple Data Structures
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Using lists in programs
Practical applications in O-Level programming questions
13. Modular Programming
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Breaking code into modules
Importing modules and using built-in modules (math, random)
14. Practical Programming Techniques
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Writing structured Python programs
Reading problem statements carefully
Testing and debugging programs
Writing pseudocode and converting to Python
Python Programming :Basic Course

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