Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value (The Pragmatic Programmers) 1st Edition

The amazing thing about this book is that is great for both beginners and intermediate python programmers. The brief introduction gives you all the gist of python, while later chapters clearly explain how the language can be used for deep learning processes. Amazing find!!

Got this book today. Perfect condition but only one major flaw, the book seems to be printed in black and white instead of colors, which makes all the graphs look horrible and very hard to interpret.

I learned more from this book than I did from Python class in college. Extremely clear and concise, and very easy to understand for beginners. This book made me much more interested in Data Science, and helped me become a better programmer as a whole. Would definitely recommend

Data is this century's oil. For those who would like to understand what all the fuss is about, this book is a gold find. It is a great summary of methods and algorithms that are used to collect, organize, plot, and prepare data for statistical and deep learning. The author offers a succinct explanation of the underlying concepts in probability theory, graph theory, statistics, and machine learning. Those of us who are new to Python will appreciate a brief introduction to the language that is deep enough to ensure understanding of plentiful code samples. Every chapter ends with a couple of exercises that will help you test understanding and gain some practical experience. The book concludes with a great list of book recommendations that will help you take your knowledge to the next level. I got this book for my son, a high schooler, and we both had serious fun reading it and working through the exercises.

I am a student and I find this book is very helpful for programming in Python for data science. The book is pretty straight forward. Concepts explained in an easy way which helps you to catch the basics in seconds! You will learn many helpful and popular library in python such aspandas, regular expression, etc. Examples code are easy to understand and follow up. You can skim through the book for less than a week and still learn a lot on the fundamentals of data science! It will be a great handbook for you. I recommended it!

This is a book for those interested in exploring Python and all the capabilities that this programming language offers for data science projects. I'm a data scientist who also loves to teach, and this book is one of the best I have found to use as main book for my students. This is not a book to jump directly to a specific topic if you don't have previous experience with python and its data science oriented libraries, this is a book to learn step by step, from the beginning to the end.