> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cloud.cdata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Python

> This page outlines the steps to use the Python Driver with Connect AI Embed.

## Install the Driver

Follow these steps to download and install the driver:

<Steps>
  <Step>
    Download and extract the setup archive for your operating system.

    * [Windows Download](https://www.cdata.com/download/getfile.aspx?file=free/LFVK-X/setup_win.zip\&name=CData%20Connect%20Python%20Connector\&tag=Download-connect)
    * [Linux Download](https://www.cdata.com/download/getfile.aspx?file=free/LFVK-X/setup_unix.zip\&name=CData%20Connect%20Python%20Connector\&tag=Download-connect)
  </Step>

  <Step>
    Follow the steps below for your operating system.
  </Step>
</Steps>

### Windows Installation

<Steps>
  <Step>
    In the extracted archive, open the `win` folder.
  </Step>

  <Step>
    Choose the folder for your Python version, and then the folder for your bitness. For example, if you have Python 3.9 and a 64-bit operating system, open the `win > Python39 > 64` folder.
  </Step>

  <Step>
    Open a command prompt and run `pip install` for the `.whl` setup file. For example, a 64-bit Python 3.9 install would be `pip install cdata_connect_connector-21.0.8049-cp39-cp39-win_amd64.whl`.
  </Step>
</Steps>

### Mac and Unix Installation

<Steps>
  <Step>
    In the extracted archive, open the `mac` or `unix` folder.
  </Step>

  <Step>
    Open a Python terminal and run `pip install` for the appropriate `.tar.gz` setup file. For example, a Python 3.9 install would be `pip install cdata-connect-connector-21.0.8049-python39.tar.gz`.
  </Step>
</Steps>

## Connect to Connect AI Embed

Follow these steps for an example of how to connect to Connect AI Embed from your Python code:

<Steps>
  <Step>
    Import `cdata.connect`, create a connection object, and pass the connection string as an argument, as in the example below:

    ```python theme={null}
    import cdata.connect as mod
    conn = mod.connect("AuthScheme=OAuth;")
    ```
  </Step>

  <Step>
    If you are not already logged in to Connect AI, the OAuth login page opens in your default web browser. Log in to continue.
  </Step>

  <Step>
    You can execute SQL statements using this connection. For example, the commands below print all entries for **Id** in a MailChimp connection:

    ```python theme={null}
    cur = conn.execute("SELECT Id FROM MailChimp1.MailChimp.AuthorizedApps")
    rs = cur.fetchall()
    for row in rs:
        print(row)
    ```
  </Step>
</Steps>

## Learn More

For more information about using Python for Connect AI, see the [Python connector documentation](https://cdn.cdata.com/help/LFM/py/default.htm).