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The QuickBooks ODBC Driver is a powerful tool that allows you to connect with live data from Quickbooks Point of Sale, directly from any applications that support ODBC connectivity.

Access QuickBooks POS data like you would a database - read, write, and update QuickBooks Inventory, Transactions, Accounts, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for QuickBooks POS in PyCharm


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

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 QuickBooks POS 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 QuickBooks POS 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 QuickBooks POS

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.

When you are connecting to a local QuickBooks instance, you do not need to set any connection properties.

Requests are made to QuickBooks POS through the Remote Connector. The Remote Connector runs on the same machine as QuickBooks POS and accepts connections through a lightweight, embedded Web server. The server supports SSL/TLS, enabling users to connect securely from remote machines.

The first time you connect, you will need to authorize the Remote Connector with QuickBooks POS. See the "Getting Started" chapter of the help documentation for a guide.

Below is the syntax for a DSN:

[CData QuickBooksPOS Source] Driver = CData ODBC Driver for QuickBooks POS Description = My Description

Execute SQL to QuickBooks POS

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 QuickBooksPOS};') cursor = cnxn.cursor() cursor.execute("SELECT ListId, AccountLimit FROM Customers WHERE LastName = 'Cook'") rows = cursor.fetchall() for row in rows: print(row.ListId, row.AccountLimit)

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