Extending Power BI with Python and R: Ingest, transform, enrich, and visualize data using the power of analytical languages

Power BI is an incredible analytical and visualization tool, but if your reports require anything beyond basic statistical or geospatial analyses, use very large datasets or incorporate machine learning models, then integrating R or Python into Power BI is a must. This book provides a clear, well-written and beautifully organized roadmap for successfully integrating R or Python into Power BI in a very wide variety of scenarios, many of which I've not seen addressed elsewhere. The author does a nice job clearly calling out best practices and cautionary notes.For those deciding between Python and R, each topic addressed includes both Python and R sections making it easy to compare approaches and specific code between the two. Many of the topics in the book are quite advanced, but they are very well-explained step-by-step with downloadable code, sample datasets, and extensive screenshot and illustrations. Highly recommended.

I'm a Tableau developer and have no clue about Power BI. However, I code in R/Python, so I was curious to see if "we" could steal some ideas :-)I was particularly interested in the anonymizing data.It's a very good, and I love the author's eye for detail. The material feels novel to me and is not just another R/Python script doing classification problems.I found the optimization problems quite challenging (see screenshot).Kudos

I went through the book last week. some of the material used is aimilar to Udacity Nano degree. Book explains how to use Python and R with Power BI. Loved the fact that the author explains the theory and the code used.