本文介绍了 Git 连接 GitHub 时出现的 “Failed to connect to github.com port 443” 错误的解决方法。
解决 Git 连接失败:Failed to connect to github.com port 443 after 21090 ms: Couldn‘t connect to server
继续阅读本文介绍了 Git 连接 GitHub 时出现的 “Failed to connect to github.com port 443” 错误的解决方法。
解决 Git 连接失败:Failed to connect to github.com port 443 after 21090 ms: Couldn‘t connect to server
继续阅读“You didn’t mention camping on Mars.”
“你没提到在火星上露营。”
Hi all, creator here 🙂
大家好,我是创作者 🙂
I launched Shepherd.com (https://shepherd.com/) on HN in 2021 and have added a ton since then! Here is the original Show HN (https://news.ycombinator.com/item?id=26871660).
我在 2021 年在 Hacker News 上发布了 Shepherd.com(https://shepherd.com/),并且从那时起添加了很多内容!这是最初的 Show HN(https://news.ycombinator.com/item?id=26871660)。
What did we add? 我们添加了什么?
We just shipped a monster update for bookshelves! Try the science fiction bookshelf as an example:
我们刚刚为书架发布了大幅更新!以科幻书架为例:
https://shepherd.com/bookshelf/science-fiction
You can visually explore science-fiction books in a ton of different ways.
你可以用很多种不同的方式直观地探索科幻书籍。
The most recommended of all time (or by decade): https://shepherd.com/bookshelf/science-fiction
所有时间最推荐的(或按年代推荐): https://shepherd.com/bookshelf/science-fiction
Trending science fiction books: https://shepherd.com/bookshelf/science-fiction/trending
热门科幻书籍:https://shepherd.com/bookshelf/science-fiction/trending
The most recommended new sci-fi (pub in last 3 years): https://shepherd.com/bookshelf/science-fiction/new
最近三年出版的新科幻推荐: https://shepherd.com/bookshelf/science-fiction/new
Filter sci-fi by subgenre, topics, and more (for example this filter shows books with AI): https://shepherd.com/bookshelf/science-fiction/book-dna?topi…
按子类型、主题等筛选科幻(例如这个筛选显示 AI 相关的书籍): https://shepherd.com/bookshelf/science-fiction/book-dna?topi…
Our sci-fi book recommendation lists by authors: https://shepherd.com/bookshelf/science-fiction/book-lists
按作者推荐的科幻书单: https://shepherd.com/bookshelf/science-fiction/book-lists
And, we’ve got these for 3,000+ bookshelves…
而且,我们还有超过 3,000 个书架…
Space opera: https://shepherd.com/bookshelf/space-opera
太空歌剧:https://shepherd.com/bookshelf/space-opera
Hard science fiction: https://shepherd.com/bookshelf/hard-science-fiction
硬科幻: https://shepherd.com/bookshelf/hard-science-fiction
Military science fiction: https://shepherd.com/bookshelf/military-science-fiction
军事科幻: https://shepherd.com/bookshelf/military-science-fiction
History: https://shepherd.com/bookshelf/history
历史: https://shepherd.com/bookshelf/history
Nonfiction: https://shepherd.com/bookshelf/nonfiction
非虚构: https://shepherd.com/bookshelf/nonfiction
Biology: https://shepherd.com/bookshelf/biology
生物学:https://shepherd.com/bookshelf/biology
World War 1: https://shepherd.com/bookshelf/world-war-1
第一次世界大战:https://shepherd.com/bookshelf/world-war-1
Math: https://shepherd.com/bookshelf/math
数学:https://shepherd.com/bookshelf/math
Astrophysics: https://shepherd.com/bookshelf/astrophysics
天体物理学:https://shepherd.com/bookshelf/astrophysics
Philosophy: https://shepherd.com/bookshelf/philosophy
哲学:https://shepherd.com/bookshelf/philosophy
Travel: https://shepherd.com/bookshelf/travel
旅行:https://shepherd.com/bookshelf/travel
Fantasy: https://shepherd.com/bookshelf/fantasy
奇幻:https://shepherd.com/bookshelf/fantasy
Books for 8-year-olds: https://shepherd.com/bookshelf/8-year-olds
8 岁孩子的书:https://shepherd.com/bookshelf/8-year-olds
You can browse for any genre, topic, or age group in the search bar, too.
你还可以在搜索栏中浏览任何类型、主题或年龄段的书籍。
Where does the data that drives this come from?
这些驱动数据来自哪里?
We’ve done mini-interviews with 12,000+ authors to get their favorite books. We also conduct an annual survey of readers/authors to find their 3 favorite reads of the year (https://shepherd.com/bboy/2024). I’m working to bring in more reader data and expand our book database using Open Library.
我们与 12,000 多位作者进行了小型访谈,以获取他们最喜欢的书籍。我们还每年进行一次读者/作者的调查,以找出他们最喜欢的三本书(https://shepherd.com/bboy/2024)。我正在努力引入更多读者数据,并使用 Open Library 扩展我们的书籍数据库。
What do we use to build this?
我们用什么来构建这个?
Python, Django, Heroku, Postgres, Cloudflare, NLP/ML for Wikipedia topic IDs via Wikifier (https://wikifier.org), Nielsen’s book API database (publisher data + Library of Congress data), and Cloudinary.
Python、Django、Heroku、Postgres、Cloudflare、用于 Wikipedia 主题 ID 的 NLP/ML(通过 Wikifier,https://wikifier.org)、Nielsen 的图书 API 数据库(出版社数据+国会图书馆数据),以及 Cloudinary。
What’s next? 接下来是什么?
I’m working to launch a full app for readers that will be like Goodreads but smarter, more personalized, and focused on private notes. I’ve got some early mockups here and more info:
我正在开发一款面向读者的完整应用程序,它将像 Goodreads 一样,但更智能、更个性化,并专注于私人笔记。这里有一些早期的模型图,更多信息:
My email is ben@shepherd.com if you want to share ideas or suggestions 🙂
如果想要分享想法或建议,我的邮箱是 ben@shepherd.com 🙂
Thanks, Ben 谢谢,本
When Donald Trump pledged to reopen the notorious Alcatraz prison as a detention center for immigrants and violent offenders, the idea was met with contempt and mockery. San Francisco leaders have called it Trump’s “stupidest idea yet” and threatened to cut off the island’s sewage and garbage services if the president acts on his carceral ambitions.
当唐纳德·特朗普承诺重新开放臭名昭著的恶魔岛监狱作为移民和暴力罪犯的拘留中心时,这个想法遭到了蔑视和嘲笑。旧金山领导人称这是特朗普“迄今为止最愚蠢的想法”,并威胁说,如果总统实现他的监禁野心,他将切断岛上的污水和垃圾服务。