Ready to get started?

Learn more about the CData ODBC Driver for Open Exchange Rates or download a free trial:

Download Now

Using the CData ODBC Driver for Open Exchange Rates in PyCharm

Connect to Open Exchange Rates as an ODBC data source in PyCharm using the CData ODBC Driver for Open Exchange Rates.

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 Open Exchange Rates 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 Open Exchange Rates 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 Open Exchange Rates

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.

The Open Exchange Rates API supports basic authentication with an App Id. After you register, your App Id is displayed in your account dashboard. Set this to the AppId connection property.

Below is the syntax for a DSN:

[CData OpenExchangeRates Source] Driver = CData ODBC Driver for Open Exchange Rates Description = My Description AppId = abc1234

Execute SQL to Open Exchange Rates

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 OpenExchangeRates};AppId = abc1234;') cursor = cnxn.cursor() cursor.execute("SELECT Id, Statistics_ViewCount FROM Projects WHERE Id = 'MyProjectId'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Statistics_ViewCount)

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