> For the complete documentation index, see [llms.txt](https://docs.flock.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flock.io/flock-products/ai-arena/quickstart/pre-requisites/wsl-installation.md).

# WSL installation

To install Conda in WSL (Windows Subsystem for Linux), you can follow these steps:

#### Step 1: Install WSL and Set Up a Linux Distribution

You can find [Ubunto(WSL) ](https://apps.microsoft.com/detail/9pdxgncfsczv?rtc=1\&hl=en-gb\&gl=GB)in Microsoft store

#### Step 2: Download and Install Miniconda or Anaconda

You can choose to install either Miniconda (a minimal installer for Conda) or Anaconda (a larger distribution including many scientific packages).

**Install Anaconda**

1. Open your WSL terminal.
2. Download the Anaconda installer script using `wget` or `curl`:

   ```bash
   wget https://repo.anaconda.com/archive/Anaconda3-latest-Linux-x86_64.sh
   ```
3. Run the installer script:

   ```bash
   bash Anaconda3-latest-Linux-x86_64.sh
   ```
4. Follow the prompts during the installation. Accept the license agreement, specify the installation path (default is usually fine), and choose whether to initialize Anaconda.
5. Initialize Conda (if not done during installation):

   ```bash
   source ~/anaconda3/bin/activate
   ```
6. Update Conda to the latest version:

   ```bash
   conda update conda
   ```

#### Step 3: Verify Installation

1. Close and reopen your WSL terminal or run the following command to activate Conda:

   ```bash
   source ~/.bashrc
   ```
2. Verify that Conda is installed and working correctly:

   ```bash
   conda --version
   ```

You should see the Conda version printed in the terminal, indicating that Conda has been successfully installed.

By following these steps, you will have Conda installed and ready to use in your WSL environment.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.flock.io/flock-products/ai-arena/quickstart/pre-requisites/wsl-installation.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
