All the ways to create screens for your Python code.

Publié le: 05 novembre 2025
sur la chaîne: Hashtag Programação
17,385
1.1k

🖥️ Create professional graphical interfaces in Python with Tkinter, Kivy, Flet, Streamlit, and more. See which GUI is ideal for your project!

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🎨 Want to learn how to create professional and interactive screens in Python, without complications? Then this video is for you!

In just a few minutes, you'll learn about the best Python GUI tools — such as Tkinter, CustomTkinter, PyQt, Kivy, Flet, and Streamlit — and discover which one is ideal for your project, whether it's a desktop, web, or even mobile app.

You'll see in practice how each library works, what they do best, and when to use each one to bring your code to life with incredible visual interfaces.

If you want to move beyond the terminal, create applications with modern design, and understand what really makes the difference between Python GUIs, this content is the right starting point.

🔔 Liked it? Leave a like, subscribe, and activate the bell to continue evolving in the world of Python and graphical interface development!

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⏱️ Lesson Content

00:00 Introduction: all ways to create graphical interfaces with Python
00:42 Tkinter in Python: understanding the standard library for GUIs
02:20 How to create elements and windows in Tkinter
03:37 Limitations and disadvantages of Tkinter
04:33 CustomTkinter: the modern and visual version of Tkinter
06:05 PyQt5 and PyQt6: create windows with a native look in Python
06:35 PyQt: advantages, disadvantages and commercial license
08:38 Kivy in Python: develop desktop and mobile applications
09:46 How Kivy works: separation between logic and visual interface
12:06 Flet in Python: create programs, websites and apps with the same code
13:27 How to use Flet: structure, elements and interactivity
15:22 Streamlit in Python: the most intuitive tool for dashboards and websites
16:30 How Streamlit Works: Advantages and Limitations in Practice
19:35 When to Use Flask, Django, or FastAPI for Complete Systems
20:48 Conclusion

#python #hashtagprogramming


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