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Google Calendars Icon Google Calendars ODBC Driver

The Google Calendars ODBC Driver is a powerful tool that allows you to connect with live data from Google Calendars, directly from any applications that support ODBC connectivity.

Access Google Calendars data like you would a database, including Calendars, Events, Attendees, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Google Calendar in PyCharm


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

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 Google Calendar 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 Google Calendar 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 Google Calendar

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.

You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a guide.

Below is the syntax for a DSN:

[CData GoogleCalendar Source] Driver = CData ODBC Driver for Google Calendar Description = My Description

Execute SQL to Google Calendar

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 GoogleCalendar};') cursor = cnxn.cursor() cursor.execute("SELECT Summary, StartDateTime FROM VacationCalendar WHERE SearchTerms = 'beach trip'") rows = cursor.fetchall() for row in rows: print(row.Summary, row.StartDateTime)

After connecting to Google Calendar in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Google Calendar 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.