Python Programming : Basic Course

A-Level 9618 students can learn this as basic-level programming.

1. Introduction to Python

• What is Python?
• Features and uses of Python
• Installing Python and IDEs (IDLE, PyCharm)
• Running a Python program

2. Basic Programming Concepts

• Algorithms and flowcharts
• Understanding programs: input → process → output
• Python syntax and indentation
• Writing and running simple programs

3. Data Types and Variables

• Data types: integer, float, string, Boolean
• Variable declaration and assignment
• Constants
• Type conversion (casting)

4. Operators and Expressions

• Arithmetic operators: +, -, *, /, //, %, **
• Relational operators: ==, !=, >, <, >=, <=
• Logical operators: and, or, not
• Assignment operators: =, +=, -=, *=, /=
• Operator precedence

5. Input and Output

• Using input() to take user input
• Displaying output using print()
• Formatting output (f-strings, concatenation)

6. Control Structures

Conditional Statements

• if, elif, else
• Nested conditions
• Loops
• for loops (with range)
• while loops
• Nested loops
• Loop control: break, continue, pass

7. Strings and String Manipulation

• String indexing and slicing
• String methods: .upper(), .lower(), .strip(), .replace(), .split(), .join()
• Concatenation and repetition

8. Lists and List Operations

• Creating lists
• Accessing, modifying, and deleting elements
• List methods: .append(), .insert(), .remove(), .pop(), .sort(), .reverse()
• Iterating through lists

8 a). Searching and Sorting

• Linear search
• Binary search
• Bubble sort11. Functions

9.Defining functions using def

Function parameters and return values

• Local and global variables
• Scope and lifetime of variables
• Built-in functions vs user-defined functions

10. File Handling

Opening and closing files

• Reading from a file (read(), readline(), readlines())
• Writing to a file (write(), writelines())
• File modes: r, w, a, r+

11. Error Handling

• Common runtime errors
• Syntax errors and logical errors
• Using try, except blocks

12. Simple Data Structures

• Using lists in programs
• Practical applications in O-Level programming questions

13. Modular Programming

• Breaking code into modules
• Importing modules and using built-in modules (math, random)

14. Practical Programming Techniques

• Writing structured Python programs
• Reading problem statements carefully
• Testing and debugging programs
• Writing pseudocode and converting to Python