You're reading from Extending Excel with Python and R

Product typeBook

Published inApr 2024

PublisherPackt

ISBN-139781804610695

Edition1st Edition

Concepts

Data Analysis

Authors (2):

Steven Sanderson

David Kun

View More author details

Part 1:The Basics – Reading and Writing Excel Files from R and Python

This introductory part lays the foundation for working with Excel files in both R and Python. The chapters cover essential tasks such as reading and writing Excel spreadsheets using popular libraries such as R and Python, enabling you to automate tasks and further enhance your Excel workflows using tools such as RDCOMClient, blastula, schedule, and smtplib for scheduling runs and sending emails.readxl, openxlsx, xlsx, pandas, and openpyxl. Additionally, you’ll learn how to execute VBA code.

This part has the following chapters:

Chapter 1, Reading Excel Spreadsheets
Chapter 2, Writing Excel Spreadsheets
Chapter 3, Executing VBA Code from R and Python
Chapter 4, Automating Further – Task Scheduling and Email

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Extending Excel with Python and R

Published in: Apr 2024Publisher: PacktISBN-13: 9781804610695

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Authors (2)

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 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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