Reader small image

You're reading from  Extending Excel with Python and R

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

David Kun
David Kun
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

View More author details
Right arrow

Automating Excel tasks

One of the major benefits of executing VBA code from Python is the automation of Excel tasks.

This section will discuss practical examples of automating common Excel operations using VBA from Python. By seamlessly integrating Python and VBA, you can streamline your data analysis workflows and significantly enhance your productivity.

Let’s explore some of the tasks you can automate using this powerful combination.

Data manipulation

With Python and VBA integration, you can automate data manipulation tasks in Excel. This includes tasks such as sorting data, filtering records, merging datasets, and performing complex transformations. For example, you can use Python to retrieve data from external sources, process it using Python libraries such as pandas or NumPy, and then update the Excel worksheet with the transformed data using VBA. This integration allows you to automate repetitive data manipulation tasks and ensure data consistency across sources...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
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