Python PyQt GUI Programming Training in Marina Bay, Singapore

This course focuses on:

• Introduction to GUI Programming with Python and PyQt

• Creating and managing graphical user interfaces (GUIs) using PyQt

• Using Qt Designer for drag-and-drop UI design

• Event handling and signal-slot mechanism

• Working with layouts, widgets, and dialogs

• Styling applications using Qt Style Sheets (QSS)

• Database connectivity and CRUD operations

• Integrating external APIs and handling network requests

• Deploying and packaging PyQt applications

Course Agenda

Module 1: Introduction to GUI Programming with PyQt

• Overview of GUI programming in Python

• Introduction to PyQt and Qt framework

• Installing and setting up PyQt

Module 2: Designing Interfaces with Qt Designer

• Understanding Qt Designer and its features

• Creating UIs using drag-and-drop components

• Exporting .ui files and converting them to Python

Module 3: Widgets, Layouts, and Forms

• Working with basic and advanced PyQt widgets

• Managing layouts (horizontal, vertical, grid, form layouts)

• Creating interactive forms and input validation

Module 4: Event Handling and Signal-Slot Mechanism

• Understanding event-driven programming

• Implementing signals and slots for interactivity

• Handling user inputs and application events

Module 5: Advanced UI Components and Features

• Creating menus, toolbars, and status bars

• Working with dialog boxes, message boxes, and pop-ups

• Implementing multi-window applications

Module 6: Styling and Theming with Qt Style Sheets (QSS)

• Introduction to QSS (Qt’s equivalent of CSS)

• Customizing buttons, labels, forms, and other UI elements

• Implementing light and dark themes

Module 7: Database Connectivity and CRUD Operations

• Connecting PyQt applications to SQLite, MySQL, PostgreSQL

• Performing CRUD operations with PyQt’s database models

• Displaying and managing data in tables and list views

Module 8: Integrating APIs and Handling Network Requests

• Fetching and displaying API data using requests and PyQtNetwork

• Handling real-time data updates with threads and timers

• Parsing and displaying JSON and XML data in applications

Module 9: Packaging and Deploying PyQt Applications

• Converting PyQt applications into standalone executables

• Using pyinstaller for cross-platform deployment

• Best practices for distributing PyQt applications

Module 10: Performance Optimization and Debugging

• Optimizing PyQt applications for better performance

• Debugging common PyQt issues

• Using logging and error handling techniques

Hands-on Exercises