New book available: Python GUI - Develop Cross Platform Desktop Applications using Python, Qt and PySide6

• CocktailBerry

  3 57 9.6 Python

  Easily serve Cocktails with Raspberry Pi and Python on any cocktail machine 🐍 + 🍸 = 🥳

Hey there, creator of CocktailBerry, which heavily utilizes PyQt. For me, the footprint/memory usage is a thing, because running on microcomputers (RPi, often only 1 GB Ram) and a Desktop variant of the OS won’t have that many resources for other things. If you want to run one or more docker containers in the background, while also ensuring a seamless operation of your app, this is even more important. Running Chrome in a Kiosk mode works but takes way more spin-up time and response time. For regular desktop projects, I would probably use some web-based framework and maybe bundle it with electron in the end, since memory usage is not so important and, let's be honest, you have much more options and individualization. But developing Qt (especially with the PyQt port) is not slow either. And having a model, view, and controller monolith can benefit or speed up development if you want to also interact with physical components on the pi and have feedback/data streams compared to the frontend/backend + REST approach. I have to admit that styling is quite a pain compared to modern web CSS. PyQt offers QSS, which is some sort of pseudo-CSS, but like from the 90s. So many modern features are lacking. But using some SASS adoption for QSS can even enable you common templates and translate them into different styles, for example. Sometimes, you just need some workaround for options, which would be one line in today’s CSS. And in the end, even if the documentation is not that good like other projects, it’s not horrible either. There are a lot of openly accessible tutorials for beginners, as well as the qt designer/creator for a more visual “drag and drop” creation approach of the application, which may be a plus for some users.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project