Data Science

  • 40 Posts
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Joined 1 year ago
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Cake day: June 17th, 2023

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  • 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.













  • ericjmorey@programming.devtoSelfhosted@lemmy.worldMozilla grants Ente $100k
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    1 month 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.


  • That’s more than most SWE graduates have done, which is great! But it makes it difficult to judge what you might benefit from based on what you’ve shared.

    To answer the title question, the suggestions provided by others here are all good resources for studying algorithms, but no one mentioned Algorithms Illuminated which is of a similar quality. Choose one of these suggested resources that vibes with your learning style.

    But don’t discount the suggestions to work on new projects that are outside of your current experience and requires more than your current knowledge base to complete. Trying things you haven’t tried before really is the only way to do things you couldn’t do previously.

    Good luck!





  • 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.