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Extending Excel with Python and R

Extending Excel with Python and R

By : Steven Sanderson, Kun
5 (5)
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Extending Excel with Python and R

Extending Excel with Python and R

5 (5)
By: Steven Sanderson, Kun

Overview of this book

– Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics. – This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. – Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. – Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level. – By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.
Table of Contents (20 chapters)
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1
Part 1:The Basics – Reading and Writing Excel Files from R and Python
6
Part 2: Making It Pretty – Formatting, Graphs, and More
10
Part 3: EDA, Statistical Analysis, and Time Series Analysis
14
Part 4: The Other Way Around – Calling R and Python from Excel
16
Part 5: Data Analysis and Visualization with R and Python for Excel Data – A Case Study

Summary

In the sections on scheduling and email notifications in Python, you have gained a comprehensive understanding of the key concepts. You have learned about different scheduling options for Python scripts, including built-in options and third-party libraries such as schedule and APScheduler. The chapter also emphasizes the importance of following best practices for email notifications, such as error handling, resource management, security considerations, testing, monitoring, documentation, and maintenance.

You can now recognize the value of email notifications in providing timely updates on the status and results of processes in automated systems. We have explored Python’s powerful libraries and modules, such as smtplib and email.mime, which enable the creation and customization of email messages. Additionally, you have acquired the knowledge required to set up email services by configuring SMTP servers, authentication credentials, and other relevant settings. We have...

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