Epicor Kinetic Python Connector

Connecting to Epicor Kinetic with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Epicor Kinetic from a wide range of standard Python data tools. Connecting to and working with your data in Python follows a basic pattern, regardless of data source:

• Configure the connection properties to Epicor Kinetic
• Query Epicor Kinetic to retrieve or update data
• Connect your Epicor Kinetic data with Python data tools.

Connecting to Epicor Kinetic in Python

To connect to your data from Python, import the extension and create a connection:

import cdata.epicorkinetic as mod
conn = mod.connect("User=user@domain.com; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM SalesOrders")
 
rs = cur.fetchall()
 
for row in rs:
print(row)

Once you import the extension, you can work with all of your enterprise data using the python modules and toolkits that you already know and love, quickly building apps that help you drive business.

Visualize Epicor Kinetic Data with pandas

The data-centric interfaces of the Epicor Kinetic Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

engine = create_engine("epicorkinetic///Password=password&User=user")

df = pandas.read_sql("SELECT * FROM SalesOrders", engine)

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

Epicor Kinetic Connector goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Epicor Kinetic Connector as easily as interacting with a database table.