You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
<divclass="tab-pane fade show active"id="python"role="tabpanel"aria-labelledby="python-tab">
96
-
106
+
::: {.grid .gap-3}
107
+
::: {.g-col-md-11 .g-col-12 .mb-0}
97
108
Combine Jupyter notebooks with flexible options to produce production quality output in a wide variety of formats. Author using traditional notebook UIs or with a plain text markdown representation of notebooks.
{.hello-output fig-alt="Example Jupyter notebook entitled Palmer Penguins with code cells, text, and a scatterplot."}
109
+
:::
110
+
::: {.g-col-sm-6 .g-col-12}
111
+
{fig-alt="Example Jupyter notebook entitled Palmer Penguins with code cells, text, and a scatterplot."}
{fig-alt="Output of example Jupyter notebook, Palmer Penguins, in HTML showing title, metadata, text, code, and scatterplot. At the top there is a dropdown option to show or hide the code."}
Quarto is a multi-language, next generation version of R Markdown from Posit, with many new features and capabilities. Like R Markdown, Quarto uses [knitr](https://yihui.org/knitr/) to execute R code, and is therefore able to render most existing Rmd files without modification.
{.hello-output fig-alt="Example output with title (ggplot2 demo), author (Norah Jones), and date (5/22/2021). Below is a header reading Air Quality followed by body text (Figure 1 further explores the impact of temperature on ozone level.) with a toggleable code field, and figure with caption Figure 1 Temperature and ozone level."}
Combine markdown and Julia code to create dynamic documents that are fully reproducible. Quarto executes Julia code via the [IJulia](https://github.com/JuliaLang/IJulia.jl) Jupyter kernel, enabling you to author in plain text (as shown below) or render existing Jupyter notebooks.
158
169
159
-
::: {.grid}
160
-
::: {.g-col-lg-6 .g-col-12}
170
+
:::
171
+
::: {.g-col-md-6 .g-col-12}
161
172
````markdown
162
173
---
163
174
title: "Plots Demo"
@@ -192,21 +203,20 @@ plot(sin,
192
203
````
193
204
:::
194
205
195
-
::: {.g-col-lg-6 .g-col-12}
206
+
::: {.g-col-md-6 .g-col-12}
196
207
{.hello-output fig-alt="Example Plots Demo output with title, author, date published and main section on Parametric plots which contains text, a toggleable code field, and the output of the plot, with the caption Figure 1 Parametric Plots."}
Quarto includes native support for Observable JS, a set of JavaScript enhancements created by Mike Bostock (the author of D3). Observable JS uses a reactive execution model, and is especially well suited for interactive data exploration and analysis.
205
217
206
-
207
-
208
-
::: {.grid}
209
-
::: {.g-col-lg-6 .g-col-12}
218
+
:::
219
+
::: {.g-col-md-6 .g-col-12}
210
220
````markdown
211
221
---
212
222
title: "observable plot"
@@ -240,11 +250,10 @@ Plot.plot({
240
250
:::
241
251
242
252
243
-
::: {.g-col-lg-6 .g-col-12}
244
-
{style="background-color: white; border: 1px solid #dee2e6; height: 625px;" fig-alt="Example output with title, author, and date. Below, the main section reads Seattle Precipitation by Day (2012 to 2016) with a toggleable section to show code and a heatmap of the precipitation by day."}
253
+
::: {.g-col-md-6 .g-col-12}
254
+
{style="" fig-alt="Example output with title, author, and date. Below, the main section reads Seattle Precipitation by Day (2012 to 2016) with a toggleable section to show code and a heatmap of the precipitation by day."}
245
255
:::
246
256
247
-
248
257
:::
249
258
250
259
</div>
@@ -261,7 +270,7 @@ Plot.plot({
261
270
:::
262
271
263
272
264
-
::: {.content-block}
273
+
::: {.content-block .py-4}
265
274
::: {.features}
266
275
267
276
::: {.feature}
@@ -323,9 +332,10 @@ Publish collections of documents as a blog or full website. Create books and man
0 commit comments