Python for Data Science For Dummies (For Dummies (Computer/Tech)) 2nd Edition

This book is a must-have for every student of data science

I enjoyed this book (along with the other books of these authors). Even though data science is a huge topic, they covered a great deal of this in the book. From setting Python up to the different analytical approaches, it was worth the time to read and use this book.

The book is a good one rich in content.

outstanding book

I received the book as a gift. This book was incredibly frustrating for a dummies book. The authors throw code at you and do not explain every line ! How can one expect to be able to program by one's self if code is not explained to you when you are learning it. I understand that the book assumes you have some knowledge of python, however even if you have knowledge of some python, you may not have knowledge of the commands used in data science. If you are NEW TO DATA SCIENCE, IT WOULD BE INCREDIBLY HELPFUL IF EVERY LINE OF CODE WAS EXPLAINED TO YOU (or every long line). And if you are new to python you will be almost completely lost in many sections of this book. I have read quite a few Dummies books on programming, computer science, and math, and this is the first book I have read in the Dummies series that presupposes you are advanced in PYTHON but also advanced in DATA SCIENCE. The reason people buy dummies books is because they need to learn the subject INITIALLY. Why can't every line of code be explained??? Especially when the lines are long and complex. I have read R Projects For Dummies (For Dummies by Joseph Schmuller AND IT IS BEAUTIFUL ! THANK GOD FOR THIS AUTHOR. HE EXPLAINS EVERY LINE OF CODE AND WRITES LIKE HE WANTS TO TEACH YOU A SUBJECT THAT YOU ARE NEW OR RELATIVELY NEW IN. John Paul Mueller (Author) AND, Luca Massaron give the impression that they do not want you to learn python as if it should be a carefully guarded secret. Maybe they are afraid that we will compete with their careers if we learn Python??? WHy not explain a HUGE chunk of code to an audience that is relatively new to data science, even if the reader is familiar with Python. (the reader may not be familiar with python within the context of data science) Chapter 7 "CONDITIONING DATA and chapter 8 SHAPING DATA are very important subjects for a data scientist, yet the authors throw huge blocks of code at you without explaining it. It is like showing a kindergartner a large paragraph without teaching him/her about vocabulary, sentence structure grammer, etc and then expecting him/her to write novel. If you are advanced in Python AND advanced in data science then you will be ok with this book, but if you are advanced in those two fields WHY WOULD YOU NEED THIS BOOK???

Graphics examples don't load and I can't seem to download the datasets that are required to follow along. This book is useless for me at this point.

This book goes an amazing job explaining Data science, pandas, NumPy, and other tools.. However, if you are a beginner python learner this is not for you. If you know nested loops, arrays, if-else statements and so on then you will be fine.