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

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Other alternatives

Apart from pandas and openpyxl, there are other libraries available for exporting data to Excel from Python. Some popular alternatives include XlsxWriter, xlrd, and xlwt. These libraries offer different features and capabilities, and the choice depends on your specific requirements. XlsxWriter, for example, emphasizes performance and supports advanced Excel features, while xlrd and xlwt provide functionality for reading and writing older Excel file formats (.xls).

In this section, we explored the benefits of exporting data to Excel, demonstrated how to do so using pandas, went through the process of creating and manipulating Excel sheets using openpyxl, discussed the reasons for choosing openpyxl or pandas based on your needs, and mentioned other alternatives available. By leveraging the power of these libraries, you can seamlessly export your data from Python to Excel, enabling efficient analysis, reporting, and collaboration.

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Extending Excel with Python and R

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

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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