I think that is because we are pretty early on with the library and crossovers from science to programming. Plus, many of the interview questions you will face during the hiring process will probably involve Pandas. This can lead to some very messy code, in which the time-pressed data scientist ends up melding several different programming philosophies just to get their aggregation to work. I bought Effective Pandas to grasp the panda's concepts finally and hoped I would do it efficiently and effectively. I like the way how Matt have described the each scenario, graphical/pictorial representation of each topic to give you a visual clarity on what is happening underneath.

I’ve been following your work for a while and have found your pandas philosophy transformative and super helpful in my own work.

Bonus: At the end of each chapter, you will find exercises that make you practice right away the concepts you’ve just read. What things should they keep in mind while designing and developing their data science/engineering workflow? Since then, Pandas (with all of its warts and inconsistencies) has taken the world by storm (for better or worse).

I've been using Pandas for about 10 years, and I still improved my Pandas skill working through the Effective Pandas. This week on the show, Matt Harrison talks about his new book, “Effective Pandas: Patterns for Data Manipulation. I have started digging into your book, and it is one of the best technical books in the area of data handling and the best book in the PyData sphere I have owned and read. Even if you are ultimately going to be working with terabytes of data, you’ll start out doing exploratory data analysis. This collection would get you close to 98%-99% of all the necessary core skills to be a good Data Scientists.One area that wasn’t properly addressed (which is why I give this 4 stars instead of 5) is memory usage and performance. In this article, we will explore 5 advanced functions in Pandas to help you improve your efficiency when working with Pandas library. I thought I could take a break during the holidays, but Matt Harrison's book on Effective Pandas was too good to put away.