AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Jupyter Notebook은 웹 기반 인터랙티브 컴퓨팅 플랫폼으로, 코드, 수식, 텍스트, 시각화, 대시보드 등을 결합합니다
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
개발 도구HTML · SCSSGitHub @jupyter온라인운영자 미확인
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로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
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프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Project Jupyter's home on the World Wide Web
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
This is the source to Jupyter.org.
There are two ways that this site is built:
• Pull Request previews are built with Netlify, a hosting service for static websites. See the section below for more information.
• Hosting for jupyter.org is done via GitHub Pages. GitHub will automatically use Jekyll to build the HTML for this site and host it at jupyter.github.io, which connects with jupyter.org.README 전문 보기 ↗This is the source to Jupyter.org.
There are two ways that this site is built:
jupyter.github.io, which connects with jupyter.org.Netlify will automatically build a preview of the website in an open Pull Request. To see this, click on the Show all checks button just above the comment box in the Pull Request window. Then click on the details link on the deploy/netlify row to see a preview of the built site.
Here's an image of this box on a GitHub PR page:
The file _includes/banner.html controls an
announcement banner that is shown at the top of jupyter.org and at the top
of Jupyter documentation sites that subscribe to it (see below). At build time
the content is embedded into every jupyter.org page and also published at
https://jupyter.org/assets/banner.html for documentation sites.
To show a banner: open a PR that puts a short HTML fragment in
_includes/banner.html, for example:
<p>
<a href="https://example.org/survey" target="_blank" rel="noopener noreferrer">
Take the short Jupyter User Survey
</a> to give feedback on how to improve Jupyter.
</p>
To remove the banner: open a PR that empties _includes/banner.html
(empty the file, but do not delete it — the site build references it).
Notes:
.global-banner component, and documentation sites style it with their
theme's announcement banner.Documentation sites using the pydata-sphinx-theme, which has an announcements feature, can subscribe by including the following code in their conf.py:
html_theme_options = {
# Default: show the shared Jupyter announcement banner; content is managed
# at https://github.com/jupyter/jupyter.github.io (assets/banner.html).
"announcement": "https://jupyter.org/assets/banner.html",
}
Under the jumbotron, the homepage shows the three newest posts from the
Jupyter blog under a heading that links to the blog
(_includes/blog-latest.html, configured by blog: in index.html's
front matter). The posts are read in the browser from
https://blog.jupyter.org/latest.json, a short list of the newest posts
that the blog writes each time it is deployed.
We are using Plausible.io for web analytics. We are also experimenting with using the Scientific Python's hosted Plausible instance (see https://github.com/jupyter/jupyter.github.io/pull/902).
See the sections below for a few ways to build the site locally.
The site is built with Jekyll, see the Jekyll website for how to customize the build process.
noxThe easiest way to build the site locally is by using the nox command line tool. This tool makes it easy to automate commands in a repository, and we have included a build command to quickly install the dependencies and build the site.
To build and preview the site locally, follow these steps:
Clone this repository.
$ git clone https://github.com/jupyter/jupyter.github.io
$ cd jupyter.github.io
Install nox
$ pip install nox
Run the build command
$ nox -s build-live
This will install the needed dependencies in a virtual environment using the conda package manager.
When the build is finished, go to localhost:4000. When Jekyll finishes building your site, it will open a port on your computer and serve the website there so that you may preview it.
You can make changes and watch the preview auto-update. When you make changes to the website, they will automatically be updated in your preview in the browser.
To stop serving the website, press Ctrl-C in your terminal
To build the site manually, you'll need Ruby, Jekyll, and the packages that Jekyll uses to build the site (these are defined in Gemfile).
Follow these steps:
Install Jekyll. You have two options:
Follow the Jekyll installation instructions. These steps will guide you through installing Ruby and Jekyll locally.
Use the anaconda distribution and conda-forge.
First install miniconda, then run the following command:
$ conda install -c conda-forge ruby c-compiler compilers cxx-compiler
Finally install Jekyll and Bundler, which will let you install the site's dependencies:
$ gem install jekyll bundler
Install the site's build dependencies. These are specified in Gemfile.
$ bundle install
This step might take a few moments as it must download and install a number of local extensions. It will create a local file called Gemfile.lock. These are the "frozen" dependencies and their version numbers needed to build the site.
Build the site locally.
$ bundle exec jekyll serve liveserve
This will build the site's HTML and open a server at localhost:4000 for you to preview the site.
Most pages are located at the place where their URL is, nothing fancy. Some are written in HTML. Others are written in Markdown. The homepage is in index.html. The about page is in about.md`.
Create my_page.html (will have url https://jupyter.org/my_page.html)
or my_page/index.html (will have url https://jupyter.org/my_page/), start with the following:
---
layout: default
title: My Page
---
write some html here (consider you are already inside `<body></body>`)
You cannot do it yet with .md file, but you will be able soon.
Add commit (and don't forget to add to _data/nav.yml).
Shortcuts with colors and other common variables can be found in _sass/settings. They can be used in SCSS files.
@import "settings/colors"
a {
color: $orange;
}
We recommend minifying images whenever adding them to this website. This helps keep the page load times of our website down. There are many minifying services out there, but the squoosh.app service is a lightweight and easy-to-use option.
The Jupyter website uses lazy loading of images. In general, images that are "below the fold" (below the browser window on page load) for laptop-sized screen sizes are encouraged to be configured for "lazy loading".
Add lazy loading to an image by adding a loading="lazy" configuration to the <img> element. For example:
<img class="my-class" src="my/src.png" loading="lazy" />
For images that are "above the fold" (that will be seen by users immediately after page load), use "eager" loading to make sure they are loaded immediately. For example:
<img class="my-class" src="my/src.png" loading="eager" />
A workflow on GitHub Actions is run at every push and for every pull request to ensure basic integrity of the website:
If pre-defined quality targets are not met, the jobs will fail. Click on "Details" link for the failing job to see what caused the failure.
The detailed results will be available in the logs (which are only shown to users logged in on GitHub), including links to full Lighthouse reports on public temporary storage (the links will expire after 7 days).