Create GUI Applications with Python & Qt5, 4th Edition now available (PyQt5 & PySide2)
The hands-on guide to make apps with Python

Heads up! You've already completed this tutorial.

Hello! This morning I released a new update to my PyQt5 book Create GUI Applications, with Python & Qt5. This is an enormous update, expanding it from 258 to 665 pages and adding 211 complete code examples.

To celebrate the milestone the book is available this week with 20% off. Readers get access to all future updates for free, so it's a great time to snap it up!

render_pyqt5_small.png

This is the 4th Edition of the book and adds a number of entirely new chapters including MVC-like model views, SQL database-views, plotting with matplotlib & PyQtGraph, custom widgets & bitmap graphics, concurrent programming with threads and processes and theming Qt applications.

Existing chapters have been expanded with more examples and step-by-step guides to using them. All source code shown in the book is available as standalone, runnable, examples to try out and experiment with.

book-pages.png

Chapters have been updated and expanded with new examples and more detailed explanations and diagrams. Cross-platform screenshots show how your application will look on different systems. Starting from the basic principles of GUI development in Python and building up to more complex topics.

modelviews.png

Learn how to use Qt's MVC-like model views architecture to sync data with widgets, including querying and editing SQL databases from within your applications.

themes.png

Tired of the default application look? Use styles, palettes and Qt Style Sheets to completely customize the look and feel of your applications.

Examples of customised bars.

Discover how to create your own widgets to use in your Qt applications. Starting from the basics of bitmap graphics and building up to a fully-customizable widgets.

concurrent.png

Use threads an processes to perform long-running calculations or communicate with remote services, without locking up your applications. Receive data back from threads and processes and display progress bars. Stop and pause running jobs from your UI.

plotting.png

Visualize data inside your applications, using matplotlib or PyQtGraph. Sync plots with external threads to create live updating dashboards to visualize data in real-time.

There is also a PySide2 edition of the book available, which features largely the same content, with examples converted to "Qt for Python". Purchasing either book gets you access to both editions, including any future updates of either.

Feedback, as always is very welcome!

Get the PyQt5 book Get the PySide2 book

Over 10,000 developers have bought Create GUI Applications with Python & Qt!
Create GUI Applications with Python & Qt5
Take a look

Downloadable ebook (PDF, ePub) & Complete Source code

Also available from Leanpub and Amazon Paperback

[[ discount.discount_pc ]]% OFF for the next [[ discount.duration ]] [[discount.description ]] with the code [[ discount.coupon_code ]]

Purchasing Power Parity

Developers in [[ country ]] get [[ discount.discount_pc ]]% OFF on all books & courses with code [[ discount.coupon_code ]]
Well done, you've finished this tutorial! Mark As Complete
[[ user.completed.length ]] completed [[ user.streak+1 ]] day streak

Create GUI Applications with Python & Qt5, 4th Edition now available (PyQt5 & PySide2) was written by Martin Fitzpatrick .

Martin Fitzpatrick has been developing Python/Qt apps for 8 years. Building desktop applications to make data-analysis tools more user-friendly, Python was the obvious choice. Starting with Tk, later moving to wxWidgets and finally adopting PyQt.