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Bo Milanovich

This course demonstrates how you can easily create desktop applications using the simplicity of Python and the power of Qt.

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This course demonstrates how you can easily create desktop applications using the simplicity of Python and the power of Qt.

In this course, you will learn how easy it is to write desktop applications using Python and its amazing friend, Qt. Python is famous for being simple yet powerful, and the same is true for Qt; in as little as 50 lines of code, you'll be able to write a fully functioning application. Not only that, but your application will also run on all major operating systems, and it will look like it's written for that operating system!

Yes! Python is frequently used for creating desktop applications and GUI (graphical user interface) apps. Python is great for backend web development, and is famous for being simple yet powerful.

Qt is a free tool for creating GUI (graphical user interfaces). Qt makes it easier to incorporate buttons, windows, and several other widgets for users to interact with in your application.

This python desktop application development course will teach you how to create desktop apps with Python and Qt. Some of the topics covered include:

You may want to have a basic understanding of Python before taking this course. We will go over some Python basics, but this is not a comprehensive Python course. If you want/need to learn basic Python, check out

.

Anyone interested in learning Python desktop application development should take this course. As well as anyone who wants to learn how to create desktop applications specifically with Python and Qt.

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What's inside

Syllabus

Python Desktop Application Development
Basic Code Structure
Our Real App
Let's Relax!
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What's Next?

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops basic code structure, which is standard in desktop Python applications development
Teaches how to create a desktop application from start to finish, which helps learners understand the process from ideation to distribution
Includes hands-on labs and interactive materials, which help learners apply their knowledge
Teaches the use of Qt, which is a popular GUI framework for desktop applications
May require learners to have a basic understanding of Python

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Desktop Application Development with these activities:
Follow Tutorials on Python and Qt
There are many tutorials available online that can help you learn Python and Qt.
Show steps
  • Find a Tutorial
  • Follow the Tutorial
Practice Python Code Snippets
Writing some simple code snippets will reinforce your understanding of Python syntax and its capabilities.
Show steps
  • Copy and Paste Some Common Python Snippets
  • Execute the Snippets
  • Modify the Snippets to Prove Your Understanding
Join a Python User Group
Interacting with other Python and Qt users can help you learn and solve problems.
Show steps
  • Find a User Group
  • Attend a Meeting
Four other activities
Expand to see all activities and additional details
Show all seven activities
Make Small Qt Projects
Building simple Qt projects will help you become more familiar with the Qt framework and its tools.
Show steps
  • Create a Qt Application
  • Add Widgets to the Application
  • Handle Events in the Application
Review Qt Open-Source Projects
Looking at how other developers use Qt can help you learn its functionalities better.
Show steps
  • Find an Open-Source Qt Project
  • Review the Code
Build a Desktop Application for Your Project
Developing a desktop application for your project will allow you to practice your skills and build something tangible.
Show steps
  • Define the Problem
  • Design the Solution
  • Develop the Application
  • Test the Application
  • Deploy the Application
Write an Article on Your Desktop App Journey
Writing about your experience will help you reflect on what you've learned and share your knowledge with the community.
Show steps
  • Choose a Topic
  • Outline the Article
  • Write the Article
  • Publish the Article

Career center

Learners who complete Python Desktop Application Development will develop knowledge and skills that may be useful to these careers:
Desktop Developer
A course that teaches how to create desktop applications using Python and Qt is likely to prove useful for a Desktop Developer's career development. These applications are designed to solve end user problems. This course covers the basics of Python and Qt to assist with this task.
Software Developer
Desktop developers are a type of software developer. As such, the course is also useful for this position as it helps teach the basics of how to create desktop applications using the Python programming language and Qt framework.
Python Developer
Python developers who want to gain experience in developing desktop applications should consider taking this Python desktop application development course. It teaches how to create desktop applications using Python and Qt. It also introduces you to the basics of Python.
Mobile Developer
Mobile developers who also want to develop desktop applications will find this course in Python Desktop Application Development to be quite useful. It covers the basics of Python and Qt, introducing how to build desktop applications with them.
Software Architect
A software architect may have to guide a team of developers in creating desktop applications. To this end, this course may be useful. It teaches how to build desktop applications using Python and Qt.
Computer Systems Analyst
Computer Systems Analysts who want to understand how to create desktop applications using Python and Qt may consider this course. It covers the basics of Python, the Qt framework, and other relevant topics.
Full-Stack Developer
Python and Qt are primarily intended for desktop applications. Nevertheless, a Full Stack Developer may find this course to be useful as it introduces the basics of these and teaches how to build desktop applications with them.
Enterprise Architect
An Enterprise Architect who plans to develop desktop applications may find this course on Python Desktop Application Development to be useful. It provides an introduction to Python and Qt and teaches how to use them to build these applications.
Web Developer
Python and Qt are primarily intended for desktop applications, yet Web Developers may still find this course to be somewhat beneficial. It teaches how to use Python and Qt to develop these applications.
Applications Architect
An Applications Architect who plans to develop desktop applications may find this course on Python Desktop Application Development to be useful. It provides an introduction to Python and Qt and teaches how to use them to build these applications.
UI/UX Designer
Python and Qt are primarily intended for desktop applications. Nevertheless, a UI/UX Designer may find this course to be somewhat beneficial. It teaches how to use Python and Qt to develop these applications.
Computer Programmer
Computer programmers who are interested in expanding their programming skills to include Python and Qt will find this Python Desktop Application Development course beneficial. It covers the basics of Python and Qt and teaches how to use them to develop desktop applications.
Machine Learning Engineer
A Machine Learning Engineer is unlikely to find this course on Python Desktop Application Development directly beneficial. Its focus on building desktop applications using Python and Qt is not a core machine learning engineering activity. It is recommended to pursue other courses more focused on machine learning engineering.
Data Scientist
A Data Scientist is unlikely to find this course on Python Desktop Application Development directly beneficial. Its focus on building desktop applications using Python and Qt is not a core data science activity. It is recommended to pursue other courses more focused on data science.
Data Analyst
A Data Analyst is unlikely to find this course on Python Desktop Application Development directly beneficial. Its focus on building desktop applications using Python and Qt is not a core data analysis activity. It is recommended to pursue other courses more focused on data analysis.

Reading list

We've selected 22 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python Desktop Application Development.
Provides a comprehensive overview of using Tkinter to create desktop applications with Python. It covers everything from basic concepts to advanced topics, such as event handling and custom widgets.
Comprehensive introduction to the Python programming language. It covers all the basics, as well as more advanced topics, such as object-oriented programming and database access.
Provides a comprehensive guide to wxPython, a cross-platform GUI library for Python. It covers topics such as creating user interfaces, handling events, and working with databases. This book good resource for those who want to learn how to use wxPython to develop desktop applications in Python.
Provides a comprehensive guide to Python GUI development using Tkinter. It covers topics such as creating user interfaces, handling events, and working with databases. This book good resource for those who want to learn how to use Tkinter to develop desktop applications in Python.
Provides a comprehensive guide to rapid GUI programming using Python and Qt. It covers topics such as creating user interfaces, handling events, and working with databases. This book good resource for those who want to learn how to use Python and Qt to develop desktop applications quickly and easily.
Comprehensive reference guide to the Python programming language. It covers everything from basic syntax to advanced topics, such as object-oriented programming and database access.
Provides a comprehensive guide to using Python for machine learning. It covers topics such as supervised learning, unsupervised learning, and deep learning. This book good resource for those who want to learn how to use Python to build machine learning models.
Comprehensive reference guide to the Python programming language. It covers everything from basic syntax to advanced topics, such as object-oriented programming and database access.
Collection of practical recipes for solving common programming problems in Python. It covers a wide range of topics, from basic tasks to more advanced topics, such as data analysis and web development.
Practical guide to using Python for real-world tasks. It covers a wide range of topics, from data analysis to web development, in a clear and concise way.
Comprehensive reference guide to the Python standard library. It covers everything from basic modules to more advanced modules, such as those for data analysis and web development.
Introduces the fundamentals of computer science using Python. It covers topics such as variables, data types, control flow, and functions. This book good starting point for those who are new to programming.
Provides a comprehensive guide to the Python programming language. It covers topics such as syntax, data types, and control flow. This book good resource for those who want to learn the Python language in depth.
Provides a comprehensive guide to using Python for data analysis. It covers topics such as data cleaning, data manipulation, and data visualization. This book good resource for those who want to learn how to use Python to analyze data.
Provides a collection of best practices for writing Python code. It covers topics such as code style, testing, and debugging. This book good resource for those who want to learn how to write Python code that is efficient, reliable, and maintainable.
Challenging but rewarding introduction to the Python programming language. It covers all the basics, as well as more advanced topics, such as object-oriented programming and database access.
Comprehensive guide to using pytest for testing Python code. It covers everything from basic concepts to advanced topics, such as fixtures and mocking.
Beginner-friendly introduction to the Python programming language. It covers all the basics, such as variables, data types, and control flow, in a clear and concise way.
Quick and easy introduction to the Python programming language. It covers the basics in just 10 minutes, making it a great option for beginners who want to get started quickly.

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