Python Connector Libraries for SharePoint Data Connectivity. Integrate SharePoint with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect SharePoint data with Python and any Python-based applications.

Features

• Compatible with Windows SharePoint Services 3.0, Microsoft Office SharePoint Server 2007 and above, and SharePoint Online
• Support for Hidden and LookUp columns
• Recursively scan Folders to create an in-depth relational model of your SharePoint data
• Supports uploading and downloading documents and attachments
• Powerful metadata querying enables SQL-like access to non-database sources
• Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
• Client-side query execution engine, supports SQL-92 operations that are not available server-side
• Connect to live Microsoft SharePoint data, for real-time data access
• Full support for data aggregation and complex JOINs in SQL queries
• Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
• Seamless integration with leading BI, reporting, and ETL tools and with custom applications

Specifications

• Python Database API (DB-API) Modules for SharePoint with bi-directional access.
• Write SQL, get Microsoft SharePoint data. Access SharePoint through standard Python Database Connectivity.
• Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
• Simple command-line based data exploration of SharePoint Lists, Contacts, Calendar, Links, Tasks, and more!
• Full Unicode support for data, parameter, & metadata.

Connecting to SharePoint with Python

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

Connecting to SharePoint in Python

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

import cdata.sharepoint as mod
conn = mod.connect("User=user@domain.com; Password=password;")
 
#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Leads")
 
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 Sharepoint Data with pandas

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

engine = create_engine("sharepoint///Password=password&User=user")
 
df = pandas.read_sql("SELECT * FROM Leads", engine)
 
df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

SharePoint 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 SharePoint Connector as easily as interacting with a database table.

CData Python Connectors in Action!

Watch the video overview for a first hand-look at the powerful data integration capabilities included in the CData Python Connectors.

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