Course Structure and Requirements

Course Structure

Module 1: Getting Started with Python

• Lesson 1: Welcome to the Course
  • Introduction Video
  • Course Objectives
  • Overview of Python and Its Applications
  • Course Structure and Requirements
• Lesson 2: Setting Up the Python Environment
  • Installing Python
  • Setting Up an IDE (PyCharm, VS Code)
  • Introduction to Jupyter Notebooks
• Lesson 3: Your First Python Program
  • Writing Your First Script
  • Understanding the Print Function
  • Running Python Scripts

Module 2: Basic Python Syntax

• Lesson 4: Variables and Data Types
  • Variables and Assignment
  • Numeric Data Types (int, float)
  • String Data Types and Manipulation
  • Boolean Data Types
• Lesson 5: Basic Operators
  • Arithmetic Operators
  • Comparison Operators
  • Logical Operators
  • Assignment Operators
• Lesson 6: Working with Strings
  • String Literals and Formatting
  • String Methods and Operations
  • Handling User Input

Module 3: Control Flow

• Lesson 7: Conditional Statements
  • If, Elif, and Else Statements
  • Nested Conditions
  • Using Conditions with Different Data Types
• Lesson 8: Loops
  • While Loops
  • For Loops
  • Loop Control Statements (break, continue, pass)

Module 4: Data Structures

• Lesson 9: Lists and Tuples
  • Creating and Accessing Lists
  • List Methods and Operations
  • Understanding Tuples and Their Uses
• Lesson 10: Dictionaries and Sets
  • Creating and Accessing Dictionaries
  • Dictionary Methods and Operations
  • Working with Sets and Their Methods

Module 5: Functions and Modules

• Lesson 11: Functions
  • Defining and Calling Functions
  • Function Parameters and Return Values
  • Scope and Lifetime of Variables
• Lesson 12: Modules and Packages
  • Importing Modules
  • Creating and Using Custom Modules
  • Python Standard Library Overview

Module 6: File Handling

• Lesson 13: Working with Files
  • Reading and Writing Files
  • Working with File Paths
  • Handling File Exceptions

Module 7: Error Handling and Debugging

• Lesson 14: Error Handling
  • Understanding Exceptions
  • Try, Except, and Finally Blocks
  • Custom Exception Handling
• Lesson 15: Debugging Techniques
  • Using Print Statements
  • Debugging Tools in IDEs
  • Common Debugging Practices

Module 8: Object-Oriented Programming (OOP)

• Lesson 16: Introduction to OOP
  • Understanding Classes and Objects
  • Defining Classes and Creating Objects
  • Class Attributes and Methods
• Lesson 17: Advanced OOP Concepts
  • Inheritance
  • Polymorphism
  • Encapsulation and Abstraction

Module 9: Working with Libraries

• Lesson 18: Popular Python Libraries
  • NumPy for Numerical Computing
  • Pandas for Data Manipulation
  • Matplotlib for Data Visualization

Module 10: Final Project and Course Wrap-Up

• Lesson 19: Course Project
  • Project Overview and Requirements
  • Step-by-Step Project Development
  • Project Submission Guidelines
• Lesson 20: Course Review and Next Steps
  • Reviewing Key Concepts
  • Additional Resources and Further Learning
  • Certificates and Feedback

Supplementary Materials

• Python Documentation
• Recommended Books and Tutorials
• Community and Support Forums

Course Requirements

Technical Requirements

• Computer: A computer with at least 4GB of RAM and sufficient disk space.
• Operating System: Python is cross-platform and works on Windows, macOS, and Linux. Ensure your OS is up-to-date.
• Internet Connection: A stable internet connection for downloading software, accessing course materials, and participating in online activities.
• Software:
  • Python: Python 3.x installed on your machine.
  • IDE: Integrated Development Environment (IDE) like PyCharm, VS Code, or an equivalent.
  • Jupyter Notebooks: (Optional) for interactive code execution.