Create GUI Applications with Python & Qt6 (PyQt6 Edition): The hands-on guide to making apps with Python

Create GUI Applications with Python & Qt6 (PyQt6 Edition): The hands-on guide to making apps with Python

Create GUI Applications with Python & Qt6 (PyQt6 Edition): The hands-on guide to making apps with Python
Автор: Fitzpatrick Martin
Дата выхода: 2022
Издательство: Lean Publishing
Количество страниц: 937
Размер файла: 8.0 MB
Тип файла: PDF
Добавил: codelibs
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Introduction....8

1. A very brief history of the GUI....10

2. A bit about Qt....13

Basic PySide6 Features....15

3. My first Application....16

4. Signals & Slots....29

5. Widgets....43

6. Layouts....77

7. Actions, Toolbars & Menus....104

8. Dialogs....131

9. Windows....185

10. Events....199

Qt Designer....210

11. Installing Qt Designer....211

12. Getting started with Qt Designer....217

13. The Qt Resource system....240

Theming....252

14. Styles....253

15. Palettes....257

16. Icons....270

17. Qt Style Sheets (QSS)....279

Model View Architecture....345

18. The Model View Architecture — Model View Controller....347

19. A simple Model View — a Todo List....350

20. Tabular data in ModelViews, with numpy & pandas....370

21. Querying SQL databases with Qt models....401

Custom Widgets....436

22. Bitmap Graphics in Qt....437

23. Creating Custom Widgets....475

24. Using Custom Widgets in Qt Designer....516

Concurrent Execution....532

25. Introduction to Threads & Processes....534

26. Using the thread pool....542

27. QRunnable examples....555

28. Long-running threads....626

29. Running external commands & processes....648

Plotting....660

30. Plotting with PyQtGraph....661

31. Plotting with Matplotlib....689

Further PySide6 Features....711

32. Timers....712

33. Extending Signals....719

34. Working with Relative Paths....731

35. System tray & macOS menus....737

36. Enums & the Qt Namespace....749

37. Working with command-line arguments....764

38. Pythonic PySide6....769

Packaging & Distribution....773

39. Packaging with PyInstaller....774

40. Creating a Windows installer with InstallForge....806

41. Creating a macOS Disk Image Installer....819

42. Creating a Linux Package with fpm....824

Example applications....837

43. Mozzarella Ashbadger....838

44. Moonsweeper....859

Appendix A: Installing PySide6....887

45. Installation Windows....888

46. Installation macOS....889

47. Installation on Linux....892

Appendix B: Translating C++ Examples to Python....893

48. The example code....895

49. Imports....897

50. int main(int argc, char *argv[])....899

51. C++ types....901

52. Signals....904

53. Syntax....906

54. Applying the process to your own code....909

Appendix C: PyQt6 and PySide6 — What’s the difference?....910

55. Background....911

56. Licensing....914

57. Namespaces & Enums....915

58. UI files....916

59. Converting UI files to Python....919

60. exec() or exec_()....921

61. Slots and Signals....922

62. QMouseEvent....924

63. Features in PySide6 but not in PyQt6....925

64. Supporting both in libraries....927

65. That’s really it....931

Appendix D: What next?....932

66. Get access to updates....933

67. Documentation....934

68. Copyright....935

69. Thank you....936

Building desktop applications doesn't have to be difficult. Using Python & Qt6 you can create fully functional desktop apps in minutes. Starting from the very basics, this modern PyQt6 book takes you on a tour of the key features of PyQt6 you can use to build real-life applications.This is the 5th Edition of Create GUI Applications with Python & Qt, updated for 2022 & PyQt6. Learn the fundamental building blocks of PyQt applications — Widgets, Layouts & Signals and learn how PyQt6 uses the event loop to handle and respond to user input. Design beautiful UIs with Qt Designer and customize the look and feel of your applications with Qt Style Sheets and custom widgets.Use Qt's MVC-like ModelViews framework to connect data sources to your widgets, including SQL databases, numpy and pandas data tables, to build-data driven application. Visualize data using matplotlib & PyQtGraph and connect with external data sources to build live dashboards. Learn how to use threads and processes to manage long-running tasks and communicate with external services. Parse data and visualize the output in logs and progress bars.The book includes usability and architectural tips to help you build maintainable and usable PyQt6 applications from the start. Finally, once your application is ready to be released, discover how to package it up into professional-quality installers, ready to ship.


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