The basic, lowest cost version of the course does not include the exercises or other downloadable extras. After debugging your results and pulling out a bit of hair, you think, "perhaps there is a better way?

The course is laid out in a logical progression, starting from installing the Pandas library and setting up a Jupyter notebook to using advanced Pandas functions. Reading the book you can feel that the author has poured in his two plus decades of experience and want to share the most with his audience so that they can implement each scenarios. The course covers some Pandas quirks that can trip up even experienced users, such as Pandas slicing and how and when to use loc and iloc attributes. qcut() are two functions in Pandas that allow you to bin continuous variables into categorical ones.

I have reviews from beginners and experience alike that this is changing how they think about Pandas. However, my audience is not someone who wants to memorize or learn about every single option found in Pandas.

This book is full of excellent tips for using Pandas both effectively and efficiently, and the author provides great examples to follow along with. My conference "tour" this year was mostly focused on some ideas that can make your Pandas code better.

Also, does your book address best practices around inplace oprerations, or does it “completely” ban its use? Hi Matt Harrison congratulations and thank you for deciding to answer our questions on this community. We use Pandas extensively for various things from experimentation, modeling, ML etc, to measure incremental benefits of our marketing campaigns. At least for me, Effective Pandas resulted in an easy read, without any major hurdle, covered everything I wanted to learn, and made me like and consider to adopt the chaining style. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings.

I’ve been following your work for a while and have found your pandas philosophy transformative and super helpful in my own work. I love pandas, but would hope to have seen more details, this book feels like a print of the official documentation. I think it is a good thing in that an investment in learning pandas turns out to be a super-power when you need to move to Spark or Dask.The 103 third parties who use cookies on this service do so for their purposes of displaying and measuring personalized ads, generating audience insights, and developing and improving products. Anyone with rudimentary programming skills should be able to work through the exercises, and doing the exercises would be a good way to develop those skills further. The result is an highly-opinionated book that teaches best practices for working with columns, manipulating tables, summarization through grouping, pivoting, and cross-tabulation, plotting, and focusing on writing clean code that your future self (and colleagues) will appreciate and understand.