Dynamics 365 Python Connector
Read, write, and update Dynamics 365 with Python
Easily connect Python-based data access, visualization, ORM, ETL, AI/ML, and custom apps with Microsoft Dynamics 365!
Python Connector Libraries for Dynamics 365 Data Connectivity. Integrate Dynamics 365 with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect Dynamics 365 data with Python and any Python-based applications.
Features
Specifications
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.
Watch the Python Connector Video OverviewPython connectivity with Microsoft Dynamics 365
Full-featured and consistent SQL access to any supported data source through Python
Connecting to Dynamics 365 with Python
CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Dynamics 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 Dynamics 365
- Query Dynamics 365 to retrieve or update data
- Connect your Dynamics 365 data with Python data tools.
Connecting to Dynamics 365 in Python
To connect to your data from Python, import the extension and create a connection:
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.
import cdata.dynamics365 as mod
conn = mod.connect("[email protected]; 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)
engine = create_engine("dynamics365///Password=password&User=user")
df = pandas.read_sql("SELECT * FROM Leads", engine)
df.plot()
plt.show()
Visualize Dynamics 365 Data with pandas
The data-centric interfaces of the Dynamics 365 Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.
More than read-only: full update/CRUD support
Dynamics 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 Dynamics 365 Connector as easily as interacting with a database table.
AI-assisted development with CData CLI
Build Dynamics 365 integrations faster with AI that understands your schema
Schema-aware AI
CData CLI gives AI coding tools access to your Dynamics 365 schema. No more guessing table names or column types—AI sees the same metadata in your Python Connectors.
Your AI Knows SQL
How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Dynamics 365.
More Accurate, More Token-Efficient
With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.
Popular Python Videos:
