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.
Space is limited! Click a session link below to reserve your spot today:
Who Should Attend
Anyone who wants a user-friendly solution to leverage the full power of Python’s data analysis libraries and parallel processing capabilities within Excel.
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:
- 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
Click a session link below to reserve your spot today: