Book Image

Mastering GUI Programming with Python

By : Alan D. Moore
5 (2)
Book Image

Mastering GUI Programming with Python

5 (2)
By: Alan D. Moore

Overview of this book

PyQt5 has long been the most powerful and comprehensive GUI framework available for Python, yet there is a lack of cohesive resources available for Python programmers to learn how to use it. This book will be your comprehensive guide to exploring GUI development with PyQt5. You will get started with an introduction to PyQt5, before going on to develop stunning GUIs with modern features. You will learn how to build forms using QWidgets and delve into important aspects of GUI development such as layouts, size policies, and event-driven programming. Moving ahead, you’ll discover PyQt5’s most powerful features through chapters on audio-visual programming with QtMultimedia, database-driven software with QtSQL, and web browsing with QtWebEngine. Next, in-depth coverage of multithreading and asynchronous programming will help you run tasks asynchronously and build high-concurrency processes with ease. In later chapters, you’ll gain insights into QOpenGLWidget, along with mastering techniques for creating 2D graphics with QPainter. You’ll also explore PyQt on a Raspberry Pi and interface it with remote systems using QtNetwork. Finally, you will learn how to distribute your applications using setuptools and PyInstaller. By the end of this book, you will have the skills you need to develop robust GUI applications using PyQt.
Table of Contents (24 chapters)
Free Chapter
1
Section 1: Deep Dive into PyQt
8
Section 2: Working with External Resources
12
Section 3: Unraveling Advanced Qt Implementations
22
Upgrading Raspbian 9 to Raspbian 10

Chapter 14

  1. Consider the following descriptions of datasets. What style of chart would you suggest for each?
    1. Web server hit counts by date
    2. Sales figures by salesperson per month
    3. Percentages of support tickets for the past year by company department
    4. The yield of a plot of bean plants against the plant's height, for several hundred plants

The answers are subjective, but the author suggests the following:

    1. A line or spline chart, as it would illustrate traffic trends
    2. A bar or stacked by chart, as this would allow you to compare salespeople over time
    3. A pie chart, since it represents a set of percentages adding up to 100
    4. A scatter plot, since you want to show a general trend of a large set of data
  1. Which chart component has not been configured in the following code, and what will the result be?
   data_list = [
qtc.QPoint(2, 3),
qtc.QPoint(4, 5),
...