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You're reading from  Extending Excel with Python and R

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781804610695
Edition1st Edition
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Authors (2):
Steven Sanderson
Steven Sanderson
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Steven Sanderson

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.
Read more about Steven Sanderson

David Kun
David Kun
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David Kun

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.
Read more about David Kun

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Summary

In this chapter, you have learned ways to call R and Python from Excel instead of the other way around to empower your end users even further. We have covered the reasons for doing so and two very different approaches: calling R and Python locally and via an API endpoint.

For locally calling R and Python, we covered BERT and xlwings in detail, from setting up and testing the environment via creating R and Python solutions up to and including how to call those solutions from Excel using the various methods provided by BERT and xlwings, such as VBA code and UDFs.

Next, you learned about API endpoints and the benefits of using an API endpoint to connect Python and R to Excel. We discussed the pros and cons of such a setup and then delved into the two flavors of API hosting: open source tools and commercial solutions. We have covered the two most used open source setups: plumber for R and FastAPI for Python. Finally, we had a look at commercial solutions for hosting R and...

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Extending Excel with Python and R
Published in: Apr 2024Publisher: PacktISBN-13: 9781804610695

Authors (2)

author image
Steven Sanderson

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.
Read more about Steven Sanderson

author image
David Kun

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.
Read more about David Kun