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SharePoint Excel Services Python Connector
 

SharePoint Excel Services Python Connector

SQL-based Access to SharePoint Excel Services from Python

Easily connect Python-based Data Access, Visualization, ORM, ETL, AI/ML, and Custom Apps with SharePoint Excel Services!


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

Features

  • Access SharePoint Excel Services data either as an entire worksheet or from discrete ranges of data within a worksheet
  • Represent discrete blocks of data as tables through automatic detection or by manually specifying ranges of data
  • Optionally specify if the first row of data should be used for field names
  • Compatible with SharePoint 2013 and 2016, Excel 2007+
  • 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 SharePoint Excel Services 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 Excel Services .
  • Write SQL, get SharePoint Excel Services data. Access SharePoint Excel Services through standard Python Database Connectivity.
  • Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
  • Simple command-line based data exploration of live Excel Spreadsheet data hosted on SharePoint on-premise or Online!
  • Full Unicode support for data, parameter, & metadata.


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 OVERVIEW

Python Connectivity with SharePoint Excel Services

Full-featured and consistent SQL access to any supported data source through Python


  • Universal Python SharePoint Excel Services Connectivity

    Easily connect to SharePoint Excel Services data from common Python-based frameworks, including:


    • Data Analysis/Visualization: Jupyter Notebook, pandas, Matplotlib
    • ORM: SQLAlchemy, SQLObject, Storm
    • Web Applications: Dash, Django
    • ETL: Apache Airflow, Luigi, Bonobo, Bubbles, petl
  • Popular Tooling Integration

    The SharePoint Excel Services Connector integrates seamlessly with popular data science and developer tooling like Anaconda, Visual Studio Python IDE, PyCharm, and more. Real Python,

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

  • String, Date, Numeric SQL Functions

    The SharePoint Excel Services Connector includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our Python Connector enhances the capabilities of SharePoint Excel Services with additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our SharePoint Excel Services Connector can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Enterprise-class Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

Connecting to SharePoint Excel Services with Python

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


Connecting to SharePoint Excel Services in Python

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

import cdata.excelservices as mod
conn = mod.connect("[email protected]; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM ExcelSheet")
 
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 Excel Services Data with pandas

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

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

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

df.plot()
plt.show()

Popular Python Videos:

Python Connectors, Jupyter Notebook, and pandas