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Using the CData ODBC Driver for SendGrid in PyCharm

Connect to SendGrid as an ODBC data source in PyCharm using the CData ODBC Driver for SendGrid.

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for SendGrid from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for SendGrid as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Connect to SendGrid

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

To make use of all the available features, provide the User and Password connection properties.

To connect with limited features, you can set the APIKey connection property instead. See the "Getting Started" chapter of the help documentation for a guide to obtaining the API key.

Below is the syntax for a DSN:

[CData SendGrid Source] Driver = CData ODBC Driver for SendGrid Description = My Description User = admin Password = abc123

Execute SQL to SendGrid

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for SendGrid};User = admin;Password = abc123;') cursor = cnxn.cursor() cursor.execute("SELECT Name, Clicks FROM AdvancedStats WHERE Type = 'Device'") rows = cursor.fetchall() for row in rows: print(row.Name, row.Clicks)

After connecting to SendGrid in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to SendGrid data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.