Using the CData ODBC Driver for EventBrite in PyCharm



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

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 EventBrite 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 EventBrite 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 EventBrite

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.

Start by setting the Profile connection property to the location of the EventBrite Profile on disk (e.g. C:\profiles\EventBrite.apip). Next, set the ProfileSettings connection property to the connection string for EventBrite (see below).

EventBrite API Profile Settings

To use authenticate to EventBrite, you can find your Personal Token in the API Keys page of your EventBrite Account. Set the APIKey to your personal token in the ProfileSettings connection property.

Below is the syntax for a DSN:

[CData API Source] Driver = CData ODBC Driver for EventBrite Description = My Description Profile = C:\profiles\Eventbrite.apip ProfileSettings = 'APIKey = my_api_token'

Execute SQL to EventBrite

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 API};Profile = C:\profiles\Eventbrite.apip;ProfileSettings = 'APIKey = my_api_token';') cursor = cnxn.cursor() cursor.execute("SELECT Id, Name FROM Events WHERE Status = 'live'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Name)

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

Ready to get started?

Connect to live data from EventBrite with the API Driver

Connect to EventBrite