Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data

Pros: 1. Covers all the important concepts you need to know to get started with EDA. 2. Lots of sample codes which the reader can use to get their hands dirty. 3. Works excellently as a reference book to look up the basic concepts of EDA. Cons: This book only contains an brief overview of the concepts. So, if you want to get a very deep understanding of the subject matter, this is not the book for you.

Worst print , black - white copy , no colour print as shown in Google book preview and not any special content

Not worth your time, the tone of the author is needlessly condescending, a significant portion of the book is basically just scraped basic tutorials of numpy, pandas and seaborn. There are also a number of serious errors in the code, examples do not work and require modification to work as the author intended and some of the referenced datasets do not exist Don't waste your time with this book, just set up the libraries and have a play around on the quick-start tutorials for those instead.