Office 365 Python Connector

Connecting to Office 365 with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Office 365 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 Office 365
• Query Office 365 to retrieve or update data
• Connect your Office 365 data with Python data tools.

Connecting to Office 365 in Python

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

import cdata.office365 as mod
conn = mod.connect("User=user@domain.com; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Mail")
 
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 Office 365 Data with pandas

The data-centric interfaces of the Office 365 Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

engine = create_engine("office365///Password=password&User=user")

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

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

Office 365 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 Office 365 Connector as easily as interacting with a database table.