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

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 as pandas, 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.

Una premessa: non è un manuale di python, nel senso che bisogna già conoscere questo linguaggio. Detto questo è un libro organizzato in moduli piccoli e procede in modo progressivo. Ottimo per la Data Science, è anche una miniera di consigli su funzioni Python magari poco note.

This is a great resource for learning the more complex potential of Python, just don't expect a comprehensive guide as it is more like some very detailed hints. I don't think I've come across a book that explicitly teaches you roughly half of what you need to know and lets you fill in the gaps yourself, pretty clever really. First two exercises of the first chapter took me all day today thanks mainly due to fighting through syntax errors but that's my fault for coming to it unfamiliar with Python. Very satisfying to get things working though and after looking ahead the future chapters have got you doing some pretty powerful stuff.

This book could have filled a gap in the market, there aren't that many books that give you practice (as opposed to being references) on the Python Data Science stack. Unfortunately it's pedagocically very poor. If you try to follow the code snippets, many do not work, you have to work out each time how the author got a certain point. The author says its based on notes he created - and it shows. The "editor" clearly didn't work through the book. Very annoying, because with a bit more care this could have been a good book.