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Python GUI Programming Recipes using PyQt5

Learn to design a UI with help of PyQT5
Instructor:
Packt Publishing
1,180 students enrolled
English [Auto]
Visually add and arrange many widgets using QT Designer
Decouple the Python code from the generated QT UI code
Use CSS styling to greatly enhance the GUI look-and-feel
Connect the GUI to a SQL database
Keep the GUI responsive via multiple threads
Learn how to use many widgets in the PyQT5 toolbox
Develop GUIs in a modular style

Python and one of its QT
bindings, PyQT, has changed the face of GUI development. It allows us to
build beautiful and powerful GUIs that grab the attention of Python
programmers. QT5 has several advantages over other GUI frameworks such
as tkinter and wxPython.

In
this video, we will successfully install PyQt5 and the toolset that
contains the QT Designer tool. The QT Designer enables us to develop our
GUI in a visual manner, using drag and drop to add and position
widgets, and we will use it extensively. We will then learn how to
convert QT Designer-generated code into pure Python code.

After
having successfully installed PyQt5, the QT Designer, and all other
required QT tools, we will start out simple, building a Python GUI using
only a few lines of PyQT5 code. Then, we will build a more complex GUI
using QT Designer. Along the way, we will explore many QT widgets and
learn how to efficiently lay out our GUI design. We will enhance the
look-and-feel of the GUI using CSS styling. We will also connect our GUI
to a SQL database, which we will create. We decouple the business logic
code from the UI code, using best practices. At the end of this video
tutorial, viewers will be able to develop complex GUIs using PyQt5.

About the Author :

Burkhard Meier is a
professional software test automation designer, developer, and analyst.
He has more than 17 years’ professional experience working for several
software companies in California, USA.

He is the author of
Python GUI Programming Cookbook, First and Second Edition. This book is
also available as a Packt video course.

He is also the author of the Python Projects Packt video course.

In his professional
career, he developed advanced in-house testing frameworks written in
Python 3. He also developed advanced test automation GUIs in Python,
which highly increased the productivity of the software development
testing team.

When not dreaming in Python code, he reads programming books about design, likes to go for long walks, and reads classical poetry.

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Includes

4 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion