Python Programming Course

Python Programming Course Outline

Duration: 40–50 Hours
Level: Beginner to Intermediate
Delivery Mode: Online/Offline
Tools Used: Python (latest version), Jupyter Notebook, VS Code, IDLE

Module 1: Introduction to Python

• What is Python?
• Features and Benefits of Python
• Installing Python and Setting Up IDEs
• Writing and Running Your First Python Program
• Understanding the Python Interpreter and REPL

Module 2: Python Basics

• Variables and Data Types
• Basic Operators: Arithmetic, Relational, Logical, Assignment
• Type Conversion and Type Casting
• User Input and Output
• Comments and Code Readability

Module 3: Control Flow in Python

• Conditional Statements: if, if-else, elif
• Looping Statements: for, while
• Loop Control: break, continue, pass
• Nested Loops and Conditional Statements

Module 4: Functions and Modules

• Defining and Calling Functions
• Function Parameters and Return Values
• Variable Scope (Local and Global)
• Built-in Functions vs User-defined Functions
• Importing Modules and Using Standard Libraries
• Creating Your Own Modules

Module 5: Data Structures in Python

• Lists and List Operations
• Tuples and Their Uses
• Dictionaries: Keys, Values, and Methods
• Sets and Set Operations
• Nested Data Structures

Module 6: String Handling in Python

• String Declaration and Indexing
• String Slicing and Manipulation
• Built-in String Functions (len(), upper(), lower(), replace(), etc.)
• f-Strings and String Formatting

Module 7: File Handling in Python

• Opening, Reading, Writing, and Closing Files
• Reading Line by Line
• Writing to Files and Appending
• Working with File Paths and Exceptions

Module 8: Error Handling and Exceptions

• Types of Errors (Syntax vs Runtime)
• Using try, except, else, and finally Blocks
• Raising Exceptions
• Custom Exception Handling

Module 9: Introduction to Object-Oriented Programming (OOP)

• Classes and Objects
• Constructor (__init__) and self Keyword
• Inheritance, Polymorphism, and Encapsulation
• Method Overriding
• Real-World OOP Examples

Module 10: Working with External Libraries (Optional)

• Installing Packages with pip
• Introduction to math, datetime, random, os, etc.
• Brief Introduction to pandas, numpy (for future data projects)

Module 11: Final Project and Assessment

• Real-Life Python Project (e.g., Calculator, To-Do App, Data Parser)
• Code Review and Debugging
• Viva and Feedback Session
• Certificate of Completion from BACT IT Institute of Bangladesh