New Webinar: Supercharging Excel Analytics with Python

Python in Excel allows for interactive graphical data selection and cleansing

View a recording of the Supercharging Excel Analytics with Python webinar here.

Join us for a webinar to see how the PyXLL Python for Excel add-in makes it easy to solve your biggest data analysis challenges with advanced Python tools and analytic engines.

What You’ll Learn

Extending the native analytic capabilities of Excel or implementing Excel-backend analytics on a cluster or in the cloud with VBA, C++, and other legacy languages is challenging and time-consuming. Python’s elegant syntax and extensive ecosystem of analytic packages can greatly simplify the development of advanced analytic tools and cluster/cloud-based backend capabilities in Excel.

We’ll demonstrate how to:

  1. Implement Excel backend parallel computations on local clusters or cloud-based platforms such as Microsoft Azure with Python
  2. Use Python functions to implement advanced, interactive graphical analytic tools in ExcelGitHub_Logo
  3. Reduce risk by storing code in GitHub version control instead of embedded VBA in Excel files

View a recording of the Supercharging Excel Analytics with Python webinar here.

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