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Choose your tool VS Code Jupyter RStudio Neovim Editor Overview Quarto has a wide variety of options available for controlling how code and computational output appear within rendered documents. In this tutorial we’ll take a .qmd file that has some numeric output and plots, an...
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Choose your tool VS Code Jupyter RStudio Neovim Editor Overview Quarto supports executable code blocks within markdown. This allows you to create fully reproducible documents and reports—the code required to produce your output is part of the document itself, and is automatica...
{ "lastmod": "2023-07-05T19:35:15.431Z", "loc": "https://quarto.org/docs/get-started/computations/rstudio.html", "source": "https://quarto.org/docs/get-started/computations/rstudio.html" }
Choose your tool VS Code Jupyter RStudio Neovim Editor Overview Quarto has a wide variety of options available for controlling how code and computational output appear within rendered documents. In this tutorial we’ll take a simple notebook that has some numeric output and plo...
{ "lastmod": "2023-07-05T19:35:15.431Z", "loc": "https://quarto.org/docs/get-started/computations/jupyter.html", "source": "https://quarto.org/docs/get-started/computations/jupyter.html" }
Choose your tool VS Code Jupyter RStudio Neovim Editor Overview In this tutorial we’ll explore more of Quarto’s authoring features. We’ll cover rendering documents in multiple formats and show you how to add components like table of contents, equations, citations, cross-refere...
{ "lastmod": "2023-07-05T19:35:15.387Z", "loc": "https://quarto.org/docs/get-started/authoring/text-editor.html", "source": "https://quarto.org/docs/get-started/authoring/text-editor.html" }
Choose your tool VS Code Jupyter RStudio Neovim Editor Overview In this tutorial we’ll show you how to author Quarto documents in RStudio. In particular, we’ll discuss the various document formats you can produce with the same source code and show you how to add components lik...
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Choose your tool VS Code Jupyter RStudio Neovim Editor Overview In this tutorial we’ll show you how to author Quarto documents in Jupyter Lab. In particular, we’ll discuss the various document formats you can produce and show you how to add components like table of contents, e...
{ "lastmod": "2023-07-05T19:35:15.387Z", "loc": "https://quarto.org/docs/get-started/authoring/jupyter.html", "source": "https://quarto.org/docs/get-started/authoring/jupyter.html" }
Choose your tool VS Code Jupyter RStudio Neovim Editor Overview In this tutorial we’ll show you how to use your favorite text editor with Quarto. You’ll edit plain text .qmd files and preview the rendered document in a web browser as you work. Below is an overview of how this ...
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Choose your tool VS Code Jupyter RStudio Neovim Editor Overview Quarto is a multi-language, next-generation version of R Markdown from Posit and includes dozens of new features and capabilities while at the same being able to render most existing Rmd files without modification...
{ "lastmod": "2023-07-05T19:35:15.467Z", "loc": "https://quarto.org/docs/get-started/hello/rstudio.html", "source": "https://quarto.org/docs/get-started/hello/rstudio.html" }
Choose your tool VS Code Jupyter RStudio Neovim Editor Overview In this tutorial we’ll show you how to use Jupyter Lab with Quarto. You’ll edit code and markdown in Jupyter Lab, just as you would with any notebook, and preview the rendered document in a web browser as you work...
{ "lastmod": "2023-07-05T19:35:15.467Z", "loc": "https://quarto.org/docs/get-started/hello/jupyter.html", "source": "https://quarto.org/docs/get-started/hello/jupyter.html" }
Overview When you introduce interactive components into a document you’ll want to be sure to lay them out in a fashion that optimizes for readability and navigation. There are of course a wide variety of ways you can incorporate interactivity spanning from visualizations embedded within a longer-form article all the wa...
{ "lastmod": "2023-07-05T19:35:15.479Z", "loc": "https://quarto.org/docs/interactive/layout.html", "source": "https://quarto.org/docs/interactive/layout.html" }
Demonstration of using the GitHub API. Code viewof repo = Inputs.radio( [ "pandas-dev/pandas", "tidyverse/ggplot2", ], { label: "Repo:", value: "pandas-dev/pandas"} ) Code import { chart } with { commits as data } from "@d3/d3-bubble-chart" chart Data d3 = require('d3') contribu...
{ "lastmod": "2023-07-05T19:35:15.663Z", "loc": "https://quarto.org/docs/interactive/ojs/examples/github.html", "source": "https://quarto.org/docs/interactive/ojs/examples/github.html" }
This example demonstrates importing a notebook from ObervableHQ and replacing its data with data of our own (the code and data for this example were originally published here). First we read from a local JSON file into population: population = FileAttachment("population.json").json() Then we import from https://o...
{ "lastmod": "2023-07-05T19:35:15.663Z", "loc": "https://quarto.org/docs/interactive/ojs/examples/population.html", "source": "https://quarto.org/docs/interactive/ojs/examples/population.html" }
Simple demonstration of Arquero using Allison Horst’s Palmer Penguins dataset. import { aq, op } from '@uwdata/arquero' penguins = aq.loadCSV("palmer-penguins.csv") penguins.view() penguins .groupby('species') .filter(d => d.body_mass_g > 0) .rollup({ count: op.count(), avg_mass: op.av...
{ "lastmod": "2023-07-05T19:35:15.663Z", "loc": "https://quarto.org/docs/interactive/ojs/examples/arquero.html", "source": "https://quarto.org/docs/interactive/ojs/examples/arquero.html" }
This variant of a sunburst diagram shows only two layers of the hierarchy at a time. Click a node to zoom in, or the center to zoom out. Compare to an icicle. Code sunburst = { const root = partition(flareData); root.each(d => d.current = d); const svg = d3.create("svg") .attr("viewBox", [0, 0, width, w...
{ "lastmod": "2023-07-05T19:35:15.663Z", "loc": "https://quarto.org/docs/interactive/ojs/examples/sunburst.html", "source": "https://quarto.org/docs/interactive/ojs/examples/sunburst.html" }
As you build larger Quarto projects (like websites and books) that incorporate OJS, you’ll likely want to re-use code, data, and output across different pages. Modules JavaScript modules are directly supported in Quarto’s OJS blocks. For example, if we have the following source file square.js: export function square(x...
{ "lastmod": "2023-07-05T19:35:15.483Z", "loc": "https://quarto.org/docs/interactive/ojs/code-reuse.html", "source": "https://quarto.org/docs/interactive/ojs/code-reuse.html" }
OJS code cells {ojs} behave a bit differently than cells in traditional notebooks, and have many options available to control their display and layout. Cell Execution A critical difference between OJS cell execution and traditional notebooks is that in OJS cells do not need to be defined in any particular order. Becau...
{ "lastmod": "2023-07-05T19:35:15.667Z", "loc": "https://quarto.org/docs/interactive/ojs/ojs-cells.html", "source": "https://quarto.org/docs/interactive/ojs/ojs-cells.html" }
Overview Earlier we described how to use the ojs_define() function to make data from Python and R available in OJS cells. In this scenario, data pre-processing is done once during render time then all subsequent interactions are handled on the client. But what if you want to do data transformation dynamically in respon...
{ "lastmod": "2023-07-05T19:35:15.667Z", "loc": "https://quarto.org/docs/interactive/ojs/shiny.html", "source": "https://quarto.org/docs/interactive/ojs/shiny.html" }
Overview Shiny interactive documents can contain both code that executes at render time as well as code that executes on the server in response to user actions and changes in input values. A solid understanding of these execution contexts is important both to have the right mental model during development as well as to...
{ "lastmod": "2023-07-05T19:35:15.667Z", "loc": "https://quarto.org/docs/interactive/shiny/execution.html", "source": "https://quarto.org/docs/interactive/shiny/execution.html" }
Overview There are a number of ways to run Shiny interactive documents: Use Run Document within the RStudio IDE. Use the quarto serve command line interface. Deploy them to a server for use by a wider audience. We’ll cover all of these scenario in depth here. Note that in order to run interactive Shiny documents you ...
{ "lastmod": "2023-07-05T19:35:15.675Z", "loc": "https://quarto.org/docs/interactive/shiny/running.html", "source": "https://quarto.org/docs/interactive/shiny/running.html" }
Overview Jupyter Widgets enable you to use JavaScript visualization libraries like Leaflet, Plotly, and threejs directly from Python. If you are using the Jupyter engine with Quarto this is a great way to incorporate interactivity without learning JavaScript. Leaflet Example Including Jupyter Widgets within a Quarto ...
{ "lastmod": "2023-07-05T19:35:15.675Z", "loc": "https://quarto.org/docs/interactive/widgets/jupyter.html", "source": "https://quarto.org/docs/interactive/widgets/jupyter.html" }
Slide Title Slide content Custom footer text Another Slide Title A different custom footer
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Slide with speaker notes Slide content Speaker notes go here.
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Presentation Slide 1 Eat spaghetti Drink wine
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{ "lastmod": "2023-07-05T19:35:15.743Z", "loc": "https://quarto.org/docs/presentations/revealjs/examples/executable-code-figure-size.html", "source": "https://quarto.org/docs/presentations/revealjs/examples/executable-code-figure-size.html" }
Habits John Doe Turn off alarm Get out of bed Get in bed Count sheep
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import numpy as np import matplotlib.pyplot as plt r = np.arange(0, 2, 0.01) theta = 2 * np.pi * r fig, ax = plt.subplots(subplot_kw={'projection': 'polar'}) ax.plot(theta, r) ax.set_rticks([0.5, 1, 1.5, 2]) ax.grid(True) plt.show()
{ "lastmod": "2023-07-05T19:35:15.743Z", "loc": "https://quarto.org/docs/presentations/revealjs/examples/line-highlighting-4.html", "source": "https://quarto.org/docs/presentations/revealjs/examples/line-highlighting-4.html" }
import numpy as np import matplotlib.pyplot as plt r = np.arange(0, 2, 0.01) theta = 2 * np.pi * r fig, ax = plt.subplots(subplot_kw={'projection': 'polar'}) ax.plot(theta, r) ax.set_rticks([0.5, 1, 1.5, 2]) ax.grid(True) plt.show()
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Slide Title This slide’s background image will be sized to 100px and repeated.
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Slide, aquamarine Slide, #806040
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Slide 1 Footer and logo are shared across all slides. Slide 2 Footer text
{ "lastmod": "2023-07-05T19:35:15.743Z", "loc": "https://quarto.org/docs/presentations/revealjs/examples/footer-and-logo.html", "source": "https://quarto.org/docs/presentations/revealjs/examples/footer-and-logo.html" }
Slide with a pause content before the pause content after the pause
{ "lastmod": "2023-07-05T19:35:15.743Z", "loc": "https://quarto.org/docs/presentations/revealjs/examples/incremental-pause.html", "source": "https://quarto.org/docs/presentations/revealjs/examples/incremental-pause.html" }
Non-scrollable Slide Bullet Point 1 Bullet Point 2 Bullet Point 3 Bullet Point 4 Bullet Point 5 Bullet Point 6 Bullet Point 7 Bullet Point 8 Bullet Point 9 Bullet Point 10 Bullet Point 11 Bullet Point 12 Bullet Point 13 Bullet Point 14 Bullet Point 15 Bullet Point 16 Scrollable Slide Bullet Point 1 Bullet Point 2 ...
{ "lastmod": "2023-07-05T19:35:15.743Z", "loc": "https://quarto.org/docs/presentations/revealjs/examples/scrollable.html", "source": "https://quarto.org/docs/presentations/revealjs/examples/scrollable.html" }
Overview This article covers the mechanics of presenting slides with Reveal. Basic navigation is done using the following keyboard shortcuts: Action Keys Next slide → SPACE N Previous slide ← P Navigate without fragments Alt → Alt ← Jump to first/last slide Shift → Shift ← You will often wa...
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Stack Click the arrow to advance to the next image in the stack.
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# Fill in the spot we created for a plot output$phonePlot <- renderPlot({ # Render a barplot }) # Fill in the spot we created for a plot output$phonePlot <- renderPlot({ # Render a barplot barplot(WorldPhones[,input$region]*1000, main=input$region, ylab="Number of Telephones", xl...
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Advance the slide to see three different fragment states: Fade in > Turn red > Semi fade out
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Absolute
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Fragments Click the arrow to advance through the fragments: Fade in Fade out Highlight red Fade in, then out Slide up while fading in
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Using Themes There are 11 built-in themes provided for Reveal presentations (you can also create your own themes). The default and dark themes use fairly classic typography and color schemes and are a good place to start. The default theme is used automatically — use the theme option to switch to an alternate theme. Fo...
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Overview Quarto supports a variety of formats for creating presentations, including: revealjs — reveal.js (HTML) pptx — PowerPoint (MS Office) beamer — Beamer (LaTeX/PDF) There are pros and cons to each of these formats. The most capable format by far is revealjs so is highly recommended unless you have specific requ...
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Overview Many more complex projects have additional processing that needs to take place periodically (e.g. data import and preparation) or even before/after each render. Project scripts are a way to incorporate this processing into your workflow. Periodic Scripts You can use the quarto run command to run a TypeScript...
{ "lastmod": "2023-07-05T19:35:15.755Z", "loc": "https://quarto.org/docs/projects/scripts.html", "source": "https://quarto.org/docs/projects/scripts.html" }
Virtual environments provide a project-specific version of installed packages. This both helps you to faithfully reproduce your environment (e.g. if you are collaborating with a colleague or deploying to a server) as well as isolate the use of packages so that upgrading a package in one project doesn’t break other proj...
{ "lastmod": "2023-07-05T19:35:15.755Z", "loc": "https://quarto.org/docs/projects/virtual-environments.html", "source": "https://quarto.org/docs/projects/virtual-environments.html" }
Overview You may have one more more environment variables that you want to make sure are set whenever you render your project. For example, you might be using environment variables to: Provide the URL of a server to download data from. Set the address of a proxy server (e.g. HTTP_PROXY). Provide credentials for access...
{ "lastmod": "2023-07-05T19:35:15.755Z", "loc": "https://quarto.org/docs/projects/environment.html", "source": "https://quarto.org/docs/projects/environment.html" }
Quarto 1.3 includes the following new features: Confluence Publishing—Publish quarto documents and projects to Confluence spaces. Multi-Format Publishing—Simple discovery of other formats for HTML documents. Jupyter Cell Embedding—Embed code and outputs from Jupyter Notebooks in Quarto documents. Article Grid Customiz...
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Pre-release Feature This feature is new in the upcoming Quarto 1.3 release. To use the feature now, you’ll need to download and install the Quarto pre-release. Overview Quarto now supports custom AST nodes in Pandoc filters. This allows more flexibility in defining and using Lua filters. We will slowly roll out m...
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Pre-release Feature This feature is new in the upcoming Quarto 1.3 release. To use the feature now, you’ll need to download and install the Quarto pre-release. Overview In Quarto 1.3, we have made some changes to how tables are processed. Recent Pandoc versions have added support for parsing HTML tables into Pand...
{ "lastmod": "2023-07-05T19:35:15.703Z", "loc": "https://quarto.org/docs/prerelease/1.3/tables.html", "source": "https://quarto.org/docs/prerelease/1.3/tables.html" }
In Quarto 1.3, conditional blocks are represented as a custom AST node. You can create conditional block AST nodes in Lua filters with the quarto.ConditionalBlock constructor. The constructor takes a single parameter, a table with entries node, behavior, and condition, as described below. In Lua filters, conditional bl...
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Pre-release Feature This feature is new in the upcoming Quarto 1.4 release. To use the feature now, you’ll need to download and install the Quarto pre-release. Quarto v1.4 includes support for the typst output format. Typst is a new open-source markup-based typesetting system that is designed to be as powerful as ...
{ "lastmod": "2023-07-05T19:35:15.703Z", "loc": "https://quarto.org/docs/prerelease/1.4/typst.html", "source": "https://quarto.org/docs/prerelease/1.4/typst.html" }
Gallery Quarto can produce a wide variety of output formats. Here are some examples: Articles & Reports Presentations Interactive Docs Websites Books Articles and reports with Python and R Create data-driven presentations Engage readers with interactivity Publish collections of ...
{ "lastmod": "2023-07-05T19:35:15.299Z", "loc": "https://quarto.org/docs/gallery/index.html", "source": "https://quarto.org/docs/gallery/index.html" }
Overview Posit Connect is a publishing platform for secure sharing of data products within an organization. Use Posit Connect when you want to publish content within an organization rather than on the public internet. There are several ways to publish Quarto content to Posit Connect: Use the quarto publish command to ...
{ "lastmod": "2023-07-05T19:35:15.795Z", "loc": "https://quarto.org/docs/publishing/rstudio-connect.html", "source": "https://quarto.org/docs/publishing/rstudio-connect.html" }
Overview There are a wide variety of ways to publish documents, presentations, and websites created using Quarto. Since content rendered with Quarto uses standard formats (HTML, PDFs, MS Word, etc.) it can be published anywhere. Additionally, there is a quarto publish command available for easy publishing to various po...
{ "lastmod": "2023-07-05T19:35:15.795Z", "loc": "https://quarto.org/docs/publishing/index.html", "source": "https://quarto.org/docs/publishing/index.html" }
Overview Quarto Pub is a free publishing service for content created with Quarto. Quarto Pub is ideal for blogs, course or project websites, books, presentations, and personal hobby sites. It’s important to note that all documents and sites published to Quarto Pub are publicly visible. You should only publish content y...
{ "lastmod": "2023-07-05T19:35:15.795Z", "loc": "https://quarto.org/docs/publishing/quarto-pub.html", "source": "https://quarto.org/docs/publishing/quarto-pub.html" }
Quarto 1.3 Feature This feature is new in Quarto 1.3, which you can download at https://quarto.org/docs/download/ Overview Atlassian Confluence is a publishing platform for supporting team collaboration. Confluence has a variety of hosting options which include both free and paid subscription plans. Quarto provid...
{ "lastmod": "2023-07-05T19:35:15.759Z", "loc": "https://quarto.org/docs/publishing/confluence.html", "source": "https://quarto.org/docs/publishing/confluence.html" }
Overview Journal article formats often require fine grained control of generated output as well as the ability to use Journal-specific commands and directives. This can be achieved for Quarto formats by providing custom Pandoc templates (LaTeX and/or HTML). Often these templates are a mix of Journal-specific LaTeX and ...
{ "lastmod": "2023-07-05T19:35:15.675Z", "loc": "https://quarto.org/docs/journals/templates.html", "source": "https://quarto.org/docs/journals/templates.html" }
Overview This article provide a guide to creating your own custom Journal formats. As a supplement to this guide we also recommend the following learning resources: The source code for the Journal article formats available from the quarto-journals GitHub organization. The GitHub template repository for creating new Jo...
{ "lastmod": "2023-07-05T19:35:15.675Z", "loc": "https://quarto.org/docs/journals/formats.html", "source": "https://quarto.org/docs/journals/formats.html" }
Overview Quarto can render Jupyter notebooks represented as plain text (.qmd) or as a normal notebook file (.ipynb). The Quarto VS Code Extension includes many tools that enhance working these documents, including: Integrated render and preview for Quarto documents. Syntax highlighting for markdown and embedded langua...
{ "lastmod": "2023-07-05T19:35:15.859Z", "loc": "https://quarto.org/docs/tools/vscode.html", "source": "https://quarto.org/docs/tools/vscode.html" }
Overview RStudio v2022.07 and later includes support for editing and preview of Quarto documents (the documentation below assumes you are using this build or a later version). If you are using Quarto within RStudio it is strongly recommended that you use the latest release of RStudio (v2023.03). You can download RStudi...
{ "lastmod": "2023-07-05T19:35:15.859Z", "loc": "https://quarto.org/docs/tools/rstudio.html", "source": "https://quarto.org/docs/tools/rstudio.html" }
Overview The Quarto JuptyerLab extension enables JupyterLab Notebooks which use Quarto markdown to properly display the contents of the markdown cells. For example, when the Quarto JupyterLab extension is installed, your Notebook will show rendered previews of elements like Callouts, Divs, Mermaid charts, as well as ot...
{ "lastmod": "2023-07-05T19:35:15.859Z", "loc": "https://quarto.org/docs/tools/jupyter-lab-extension.html", "source": "https://quarto.org/docs/tools/jupyter-lab-extension.html" }
Shortcuts Visual mode supports both traditional keyboard shortcuts (e.g. ⌘ B for bold) as well as markdown shortcuts (using markdown syntax directly). For example, enclose **bold** text in asterisks or type ## and press space to create a second level heading. Here are the available keyboard and markdown shortcuts: C...
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Overview The Quarto visual editor generates markdown using Pandoc. This means that in some cases your markdown will be rewritten to conform to standard Pandoc idioms. For example, Pandoc inserts 3 spaces after list bullets and automatically escapes characters that might be used for markdown syntax. Here is a list of co...
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Overview The Quarto VS Code Extension includes a visual markdown editor that supports all of Quarto’s markdown syntax including tables, citations, cross-references, footnotes, divs/spans, definition lists, attributes, raw HTML/TeX, and more: You can switch between visual and source mode at any time and can even edit d...
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Overview Quarto Websites are a convenient way to publish groups of documents. Documents published as part of a website share navigational elements, rendering options, and visual style. Website navigation can be provided through a global navbar, a sidebar with links, or a combination of both for sites that have multiple...
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Overview Quarto includes support for full text search of websites and books. By default, Quarto will automatically index the contents of your site and make it searchable using a locally built index. You can also configure Quarto search to use a hosted Algolia index. Search Appearance Search is enabled by default for ...
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Overview There are a variety of options available for providing website navigation, including: Using top navigation (a navbar) with optional sub-menus. Using side navigation with a hierarchy of pages. Combining top and side navigation (where top navigation links to different sections of the site each with their own si...
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Headers & Footers You can provide standard headers and footers for pages on your site. These can apply to the main document body or to the sidebar. Available options include: Value Description body-header Markdown to insert at the beginning of each page’s body (below the title and author block). body-foote...
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This article covers customizing the output of book projects, including how to tailor the styles and appearance of books in each supported output format. Format Options If you want to specify rendering options (including format-specific options), you do it within the _quarto.yml project file rather than within the indi...
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Overview Quarto Books are combinations of multiple documents (chapters) into a single manuscript. Books can be created in a variety of formats: HTML PDF MS Word EPUB AsciiDoc HTML books are actually just a special type of Quarto Website and consequently support all of the same features as websites including full-text...
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Quarto is open source software licensed under the GNU GPL v2. We believe that it’s better for everyone if the tools used for research and science are free and open. Reproducibility, widespread sharing of knowledge and techniques, and the leveling of the playing field by eliminating cost barriers are but a few of the sh...
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We want to hear about Quarto bugs and, we want to fix those bugs! The following guidance will help us be as efficient as we can. Rule 0: Please submit your bug report anyway! We have a better chance to fix your code quickly if you follow the instructions below. Still, we know that this takes work and isn’t always poss...
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