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| title: Valuechainhackers | |
| emoji: π | |
| colorFrom: green | |
| colorTo: pink | |
| sdk: docker | |
| pinned: false | |
| To get started working with quarto we recommend you first [install quarto](https://quarto.org/docs/get-started/) locally so that you can render the site without Docker. | |
| We also recommend the [Quarto VS Code Extension](https://marketplace.visualstudio.com/items?itemName=quarto.quarto) which provides syntax highlighting, code completion, a preview button and more. | |
| The quarto source is located in `src` and you can preview the site with: | |
| ``` | |
| quarto preview src | |
| ``` | |
| A web browser should open up with a live preview of the site. | |
| ## Making changes | |
| The `src/_quarto.yml` contains the site-level configuration for the quarto website and tells quarto which files to render, and how they should be organized. | |
| For example if you wanted to modify the [site navigation](https://quarto.org/docs/reference/site-navigation.html) you should modify this file. | |
| Quarto can render markdown, ipynb, and .qmd files, and you can mix formats in a single document. | |
| ## Executing code | |
| One of the main virtues of Quarto is that it lets you combine code and text in a single document. | |
| By default if you include a code chunk in your document, Quarto will execute that code and include the output in the rendered document. | |
| This is great for reproducibility and for creating documents that are always up-to-date. | |
| ```{python} | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| # Sample data | |
| tips = sns.load_dataset("tips") | |
| # Create a seaborn plot | |
| sns.set_style("whitegrid") | |
| g = sns.lmplot(x="total_bill", y="tip", data=tips, aspect=2) | |
| g = (g.set_axis_labels("Total bill (USD)", "Tip").set(xlim=(0, 60), ylim=(0, 12))) | |
| plt.title("Tip by Total Bill") | |
| plt.show() | |
| ``` | |