Data Science

  • 27 Posts
  • 320 Comments
Joined 1 year ago
cake
Cake day: June 17th, 2023

help-circle


  • I think that Hashimoto is using this project to iron out details that are left unaddressed due to convenience for other projects and the very low impact of any single issue Hashimoto has addressed. But much like with Apple projects, Hashimoto intends for the the end product to have greater value than the sum of the parts. Unlike Apple, it will be perfomant cross platform.

    I think the only way to evaluate a project like this is to ignore the feature comparison charts and use it to see if it really is better when those details are addressed. I have a feeling that many people will agree and most will shrug their shoulders and not give it a second look if they even gave it a first one.

    I’ll be trying Ghostty out soon. I hope it’s great. But I’m not expecting to be blown away.


  • He seems to target GTK based on his statement:

    "On macOS, the main GUI experience is written in Swift using AppKit and SwiftUI. The tabs are native tabs, the splits are native UI components, multi-window works as you’d expect, etc. On Linux, the GUI experience is GTK using real GTK windows and other widgets.

    Features such as error messages are not implemented with a specialized terminal view, we actually use real native UI components. The point is, while the terminal surface and core logic is cross-platform, the user interaction is all purpose-built for each operating system for a true native experience."

    https://mitchellh.com/writing/ghostty-and-useful-zig-patterns








  • ericjmorey@programming.devtoSelfhosted@lemmy.worldMozilla grants Ente $100k
    link
    fedilink
    English
    arrow-up
    60
    arrow-down
    2
    ·
    2 months ago

    Ente is a beautiful, private cloud for your memories, with apps for mobile, desktop and web.

    At Ente, we use Local AI to deliver features like face recognition and magic search, while respecting the privacy of your photos.

    We’ll now join a cohort of builders pushing technology forward for an AI that is light, private and accessible.





  • An author of the original book, Allen B. Downey, has released a third edition if his updates that is also available online at no cost and in Allen B. Downey’s words:

    The book is now entirely in Jupyter notebooks, so you can read the text, run the code, and work on the exercises – all in one place. Using the links below, you can run the notebooks on Colab, so you don’t have to install anything to get started.

    The text is substantially revised and a few chapters have been reordered. There are more exercises now, and I think a lot of them are better.

    It’s interesting to see how the same source material has grown into two differently maintained and similar resources.