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Using the CData ODBC Driver for Quandl in PyCharm

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

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 Quandl 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 Quandl 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 Quandl

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.

Quandl uses an API key for authentication. See the help documentation for a guide to obtaining the APIKey property.

Additionally, set the DatabaseCode connection property to the code identifying the Database whose Datasets you want to query with SQL. You can search the available Databases by querying the Databases view.

Below is the syntax for a DSN:

[CData Quandl Source] Driver = CData ODBC Driver for Quandl Description = My Description APIKey = abc123 DatabaseCode = WIKI

Execute SQL to Quandl

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 Quandl};APIKey = abc123;DatabaseCode = WIKI;') cursor = cnxn.cursor() cursor.execute("SELECT Date, Volume FROM AAPL WHERE Collapse = 'Daily'") rows = cursor.fetchall() for row in rows: print(row.Date, row.Volume)

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