Python

This page outlines the steps to use the Python Driver for CData Connect Cloud.

Note：CData Connect Cloud でPython を設定して使用する前に、データソースをCData Connect Cloud アカウントに接続する必要があります。詳細は、Connections を参照してください。

Install the Driver

Follow these steps to download and install the driver:

Follow the steps below for your operating system.

In the extracted archive, open the win folder.
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.
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.

In the extracted archive, open the mac or unix folder.
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.

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

Import cdata.connect, create a connection object, and and pass the connection string as an argument, as in the example below:
```
 import cdata.connect as mod
 conn = mod.connect("AuthScheme=OAuth;")
```
If you are not already logged into CData Connect Cloud, the OAuth login page opens in your default web browser. Log in to continue.
You can execute SQL statements using this connection. For example, the commands below print all entries for Id in a MailChimp connection:
```
 cur = conn.execute("SELECT Id FROM MailChimp1.MailChimp.AuthorizedApps")
 rs = cur.fetchall()
 for row in rs:
     print(row)
```
Connect to a Workspace

You can connect the Python client to a specific workspace as follows:

    import cdata.connect as mod
    conn = mod.connect("AuthScheme=OAuth;Workspace=MyWorkspace")

To learn more information about using Python for CData Connect Cloud, click here.