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Merged
adsharma merged 2 commits into from
May 20, 2026
Merged

Fix broken docs links #26

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2488ac9
Fix broken docs links
dicnunz May 20, 2026
c87cc4a
Address docs link review
dicnunz May 20, 2026
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2 changes: 1 addition & 1 deletion src/content/docs/client-apis/swift.mdx
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Expand Up @@ -9,5 +9,5 @@ See the following link for the full documentation of the `swift-ladybug` package

<LinkCard
title="Swift API documentation"
href="https://api-docs.ladybugdb.com/swift/documentation/lbug/"
href="https://api-docs.ladybugdb.com/swift/"
/>
5 changes: 2 additions & 3 deletions src/content/docs/get-started/graph-algorithms.md
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Expand Up @@ -14,7 +14,7 @@ in Python to run almost any graph algorithm on a Ladybug subgraph.
## Prepare the dataset

A dataset of Nobel laureates and their mentorship network is provided
[here](https://raw.githubusercontent.com/ladybugdb/ladybug/tutorials/main/src/network_analysis/data.zip).
[here](https://huggingface.co/datasets/ladybugdb/python-tutorial/blob/main/nobel-mentorship.zip).
Download the dataset to your local directory and unzip it.

The nodes in the dataset are scholars who won Nobel prizes, as well as other
Expand Down Expand Up @@ -408,5 +408,4 @@ For performance and scalability, it's recommended to use Ladybug's native `algo`
is available. If not, you can always fall back to using NetworkX, which has a far more extensive suite of
graph algorithms.

To reproduce the analysis shown in this tutorial, see the code
[here](https://github.com/LadybugDB/tutorials/tree/main/src/network_analysis).
To reproduce the analysis shown in this tutorial, run the code snippets above after placing the CSV files in `./data`.
10 changes: 5 additions & 5 deletions src/content/docs/installation.mdx
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Expand Up @@ -20,8 +20,8 @@ tar xzf lbug_cli-*.tar.gz`,
macos: `curl -L -O https://github.com/LadybugDB/ladybug/releases/download/v${version}/lbug_cli-osx-universal.tar.gz
tar xzf lbug_cli-*.tar.gz
./lbug`,
win: `curl -L -O https://github.com/LadybugDB/ladybug/releases/download/latest/lbug_cli-windows-x86_64.zip`,
winUrl: `https://github.com/LadybugDB/ladybug/releases/download/latest/lbug_cli-windows-x86_64.zip`,
win: `curl -L -O https://github.com/LadybugDB/ladybug/releases/latest/download/lbug_cli-windows-x86_64.zip`,
winUrl: `https://github.com/LadybugDB/ladybug/releases/latest/download/lbug_cli-windows-x86_64.zip`,
},
java: `<dependency>
<groupId>com.ladybugdb</groupId>
Expand All @@ -41,7 +41,7 @@ tar xzf liblbug-*.tar.gz`,
tar xzf liblbug-*.tar.gz`,
win: `curl -L -O https://github.com/LadybugDB/ladybug/releases/download/v${version}/liblbug-windows-x86_64.zip`
},
go: `go get https://github.com/LadybugDB/go-ladybug@v0.13.1`,
go: `go get github.com/LadybugDB/go-ladybug`,
swift: `dependencies: [
.package(url: "https://github.com/LadybugDB/swift-ladybug/", branch: "${version}"),
],`
Expand Down Expand Up @@ -100,10 +100,10 @@ Alternatively, you can download the Ladybug CLI directly.
<TabItem label="Windows">

Use a tool like `curl` to download the latest version of the Ladybug CLI to your local machine. Alternatively,
simply open [this URL](https://github.com/LadybugDB/ladybug/releases/download/latest/lbug_cli-windows-x86_64.zip) in your browser.
simply open [this URL](https://github.com/LadybugDB/ladybug/releases/latest/download/lbug_cli-windows-x86_64.zip) in your browser.

```bash
curl -L -O https://github.com/LadybugDB/ladybug/releases/download/latest/lbug_cli-windows-x86_64.zip
curl -L -O https://github.com/LadybugDB/ladybug/releases/latest/download/lbug_cli-windows-x86_64.zip
```

Right-click on the `lbug_cli-xxx.zip` file and click on **Extract All**. This will create a directory
Expand Down
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