04 Sep Supercharging Excel Analytics with Python
See how the Python for Excel (PyXLL) add-in helps solve data analysis challenges with advanced Python tools and analytic engines.
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 numeric and analytic packages can greatly simplify the development of advanced analytic tools and cluster/cloud-based backend capabilities in Excel.
In this webinar we demonstrate how to:
- Implement Excel backend parallel computations on local clusters or cloud-based platforms such as Microsoft Azure with Python
- Use Python functions to implement advanced, interactive graphical analytic tools in Excel
- Reduce risk by storing code in GitHub version control instead of embedded VBA in Excel files