Python Advanced

Duration

Course Code

3 Days

IV-DC-005

About the Course

This course is designed for learners who have a foundational understanding of Python and want to explore more advanced topics such as object-oriented programming (OOP), GUI development, databases, network programming, and concurrency.

Learning Outcomes

Develop scalable and maintainable Python applications.
Work with databases and implement unit testing.
Build interactive applications using GUI frameworks.
Implement multithreading and concurrency in Python.
Package and distribute Python applications.

Target Audience

Developers with basic Python knowledge aiming to advance their skills.
IT professionals seeking expertise in Python application development.
Software engineers working on database management, automation, and network programming.

Prerequisites

 Basic understanding of Python programming

 Knowledge of fundamental programming concepts

Course Outline

Day 1: Advanced Python Concepts

Object-Oriented Programming (OOP)

Creating reusable classes and objects.
Understanding magic methods and class factories.

Advanced File Handling

Exploring advanced file operations.
Working with external data files.

Implementing Unit Testing

Learning test-driven development (TDD).
Writing and executing unit test cases.
Creating test suites for comprehensive testing.

Day 2: Building Interactive Applications

Graphical User Interfaces (GUIs)

Designing visually appealing GUIs.
Arranging and organizing layouts.
Handling user interactions and events.

Database Management

Understanding the basics of data management.
Using SQLite databases for storing and retrieving data.
Manipulating SQL data with Python.

Network Programming

Learning the basics of client/server communication.
Developing simple client/server applications.

Day 3: Multithreading, Packaging, and Advanced Tools

Threading and Concurrency

Creating and managing multithreaded applications.
Optimizing resource management in concurrent programming.

Packaging and Distribution

Structuring Python packages for distribution.
Generating distribution files and executables.
Learning Python style guidelines and best practices.
Exploring advanced Python resources and learning paths.