As there are a lot of new apps developers and new users on gnome, i would like to share this place to share your gnome apps ideas, and if you are a developer, maybe it could be worth taking a look at them! (great apps like impression came from here!) https://gitlab.gnome.org/bertob/app-ideas/-/issues
Thanks to @AlSweigart discourse, I have now determined that I'll be doing #Python things in no fewer than three cities with funicular railways in the next 12 months. I could totally imagine doing more.
Open your calendar, NumPy 2.0 is going to be out on June 16th 🚀
This is the first major release since 2006. The release includes breaking changes in the library API, and therefore, if you are planing to adopt it, some code refactoring may required.
The release includes new features, performance improvement 🏎️, improvements on the C API, and more.
Seems like it was started a year ago. I just discovered it now, and am somewhat impressed by how much detail it provides (including Air Pollution / Air Quality Index).
So of course I filed my ponies-on-rainbows enhancement request to suggest an interactive stacked graphs representation (like a certain website I use, shown below)… 🤞👀
Dank des tollen #python Kurses von @piko kann ich hier stolz, meine ersten Versuche mit #GenArt vorstellen, die unser erstes längeres Projekt: Mandalagenerator hervorgebracht hat :yayblob: :blahaj:
Lizenz: CC-BY- mayz
The Machine Learning for Beginners by Microsoft Developer is an introductory course for classical machine learning. This crash course mainly focuses on regression analysis with Python 🐍, and it covers topics such as:
✅ General setup
✅ Cleaning data
✅ Data visualization
✅ Regression models
✅ Polynomial regression
✅ Logistic regression