Packt Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

I have been looking for an introductory book on exploratory data analysis for a while. This book, more than answered and satisfied my curiosity. It is a truly a cookbook and will give the reader clear solutions to their data driven problems. I found the organization of the book very easy to follow which correspondingly boosted my confidence in my ability to work on EDA (Exploratory data analysis). I highly recommend this book for its level of detail, readability, and understanding.

I’m starting to learn python and have taken a couple machine learning classes. I bought this book to brush up on my knowledge a bit more. It is easy to follow, and you can easily recreate a lot of the recipes in this book. The lessons build on one another, so that you learn how to do combinations of things. I wish there were some more advanced examples or assignments. Like, this is how to do joining. Now here’s another more extreme version of it, or something like that. I feel that the single examples don’t provide a strong knowledge of the concepts. But if you are just learning these for the first time, it’s a great book.

This book excels in every category, ranking in the top 2 to 3% of all the data analytics books I've ever read or come across. And yes my favorite part of the book was where he used pyLDAvis module to plot topics and top words of a reviews data, it reminded me of an interesting project I worked on that I used those same set of visualizations.