Python Data Analysis - Third Edition: Perform data collection, data processing, wrangling, visualization, and model building using Python

Great book. Curated to be easy to read most important concepts and tools.

If you prefer breadth over depth then this book is for you. It covers a thorough array (no pun intended) of material needed to get started in data science, from setting up your computer all the way to implementing ML algorithms at scale. It provides high level background knowledge about the topics it covers; introduces libraries, techniques, and algorithms commonly used in DS; and includes code examples.That being said, this is not the place to go for deep level explanations or details about potential problems and pitfalls or things to look out for. I like this book as an easy to navigate reference where I can quickly find what I am looking for and get a general idea of what I need to do and what my options are.

There are so many books in the market for Data Analysis but I found this book to be perfect for a person who is just getting started in the world of Data and plans to have a career as a Data Analyst using Python.The best thing which I liked about the book is that each concept is accompanied by its implementation with code in Python that is both comprehensively and exhaustively covered. Apart from covering the topics for Data Analysis, a part of this book also digs deeper into the concept and implementation of Machine Learning algorithms using Python.Some topics in the çhapter could have been more descriptive. And yet, it is still a must-have guidance book for a person starting a career in Data Analysis.

This is a clear and good primer on the subject. I think it also gives some context that one might not find elsewhere (e.g., explanations of various approaches like KDD).

Python Data Analysis is a great book for beginners as well as anyone looking to brush up Python skills. The best thing about this book is, the author does not assume the target audience to have any Python knowledge and hence, all the topics are detailed with theory and workable practical code. The book covers in detail on Data Visualization packages and methods and touches on Machine Learning and Linear Regression towards the end.Happy learning!

The book starts of by talking about installation and configuration of Python and talks about various packages like Pandas, NumPy in Python. There are visualization packages like Matplotlib and Seaborn described and ending parts talk about Machine Learning and Linear Regression. A great book for Data Analysts and Machine Learning Engineers.

I would definitely recommend this book to anyone who would like to learn machine learning with python it starts right from basics to NLP

Great book, helps to understand concepts more precisely!

This book is very informative and well explained in detailed it helped me a lot.

Sehr gut, effektiv und einfach erzählt alle komplexen Themen

This book is not even worth a single Euro or Dollar on its current form. This book targets programmers and promises to teach data science and data analysis but it is of the worst quality. Figures are pixelated and blurry, without a caption or a number, often without any axis labels or even a title. Most formulas are inserted as figures instead of proper text and so again most formulas are pixelated and of bad quality. Even worse, when mathematical variables appear in the text, because of being inserted as images they are not aligned with the text around and thus are above or beyond the text line. Absolutely unbelievable for a professional book and really not worth a penny.