Python App Development: Build Modern GUIs in 7 Hours (Beginners Course)

Code with Josh
Code with Josh
For a better viewing experience and access to all my learning resources as well as tons of other free benefits, please go to my ...
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In this comprehensive tutorial, you'll embark on a journey to create sleek and modern graphical user interfaces (GUIs) using Python and PyQt, perfect for desktop app development.

Throughout this 7-hour course, you'll dive deep into the fundamentals of Python GUI development, learning essential techniques to build powerful desktop applications.

Whether you're a programming novice or looking to expand your skills, this course is designed to guide you through every step of the process.

You'll gain valuable insights into Python GUI development with interactive real world projects.

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List of Apps You Will Build:
1. Starter App
2. Calculator
3. Image Editor
4. Expense Tracker
5. Interest Rate Finder

Tools You Will Use:
- Python
- PyQt
- SQL
- MatplotLib
- Pillow (PIL)
- Lambda

Plus, PyQt's seamless integration with Python makes it the ideal choice for developers of all levels.

Don't miss out on this opportunity to take your Python skills to the next level and become proficient in building modern GUIs for desktop apps.

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CHAPTERS:
0:00 - Introducing Code with Josh’s Free GUI Course
2:20 - Our GUI Course Structure
7:22 - Installation Python and VS Code Extensions
10:30 - What is PyQt?
15:46 - The Basics of a Windowed Application
36:55 - Create a Starter App Window
42:07 - Learn to Design with BoxLayout
50:45 - Add Widgets to an Application
57:30 - App Functionality with Signals and Slots
01:02:52 - Build a Calculator App with Python
01:48:14 - Styling with CSS in Python
01:54:09 - Building an Image Editor Application
02:09:45 - Introduction to Pillow (PIL) in Python
02:28:24 - Implement Pillow with PyQt and os module
03:13:30 - Learn to Use Lambda Functions in Python
03:42:53 - Build a SQL Expense Tracker
04:01:41 - Introduction to SQL with Python
05:16:58 - Build an Interest Rate Calculator with Matplotlib
05:50:33 - Introduction to Data Visualization with Matplotlib
06:28:10 - Toggle a Dark Mode
06:40:15 - Graduation of our course

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