Fluent Python: Clear, Concise, and Effective Programming, Second Edition (Grayscale Indian Edition)

Great book

Its a insane book

Well structured book. Concepts are explained very clearly.

I was a relatively experienced Python programmer with 5 years of experience when I picked up this book This book made me see Python in a new light. Before I picked up this book, I used Python data structures and object-oriented features, just like I would any other object-oriented language. This book taught me many ideas that makes Python click in a way it had not before, with advanced features like metaclasses, decorators etc.

A good book to have On Python!

Suggested for advanced python users.

2 stars less, because the book didn't came in a good condition and after several hurdles with amazon, I got to get this book. The book is amazing. This is the only book you need to be a core python developer and understand how amazing python is.

The special characters were missing. Making it unworthy to buy

Great content

O livro é excelente e aprofunda vários (todos?) aspectos da linguagem. Não é um livro para iniciantes — se você for um, não compre esse livro agora —, mas para aqueles que já possuem no mínimo conhecimento intermediário de Python (o próprio autor menciona isso), visto que ele fornece um "algo a mais" àquilo que você sabe/acha que sabe. Acredito que seja o livro definitivo para programadores Python.

The book was ruined, I don't know if it's the shipping service, or something else, plus I thought it's colored not a 700sek for a BW version, trash

Of course, we programmers know that everything we could want to know is out there, in fragmentary form, on the web. But I have a tediously fastidious mind that likes to keep the distinction clear between what I know and what I have yet to find out. As such, books are my preferred approach to a systematic learning process. I would have been very grateful then if someone had told me at the start of my Python journey that what and all I needed to read was the Tutorial at python.org, David Beasley's epically concise Python Distilled, and this, the 'lizard book'. This book demands a close, paragraph by paragraph reading and maybe some re-reading of some sections till full or at least deeper understanding dawns. After this book there isn't really anywhere to go except the source code and the dry and voluminous language docs. Whatever isn't actually in the book is there on the accompanying fpy.li website. A first point is that this is not a book for the beginner. One needs to have a reasonable grasp of the language having worked a while with it, being able to muddle along, but also knowing one is just muddling along and wishing to get things onto a more solid foundation. As such, I'm anxious not to let prospective readers be put off by the review that asserts that the author does not get to the point. There is no flab in this book. It is a big book, but a serious programmer could only wish that the book was even bigger and even more detailed. Python is as much an ideology about how to do things properly as a programming language. It is deceptively easy to muddle along in Python on the basis of what one has already come to know in more 'primitive' programming languages. But for the programmer determined to get the best from a language that has a near endless toolbox of subtle features and constructs the learning curve goes far deeper and longer than a superficial comprehension can suspect. Perhaps that reviewer is thinking about the soapbox sections at the end of each chapter in which the author considers the merits or not of particular decisions made in the complex, democratic language design process? If so, it should be pointed out that even here the author is inviting the reader to think more deeply and clearly about why such features were implemented as they were and what the alternatives might be. I have two complaints, notwithstanding which I still regard the book as indispensable and insubstitutable. Firstly, I wish very much there was a hardcover edition because the kind of reading this book demands means that the paperback cover is not going to survive even as much as a first reading. I would also like to see, perhaps in a future edition, a more comprehensive and systematic index. Again and again, one encounters situations where we know we have read something about this in 'the lizard book' but finding the requisite nugget or gem is not always that easy. The book does not work particularly well as a reference. A final point is that the book is a great pleasure to read without any loss of clarity. Although the author's knowledge is clearly formidable, he invites the reader to accompany him on a journey as a fellow traveller, pointing out the many small discoveries he has made in his own passage. One quickly comes to feel assured that even where one's own understanding might falter, everything you need to achieve understanding is written down there if one just reads it carefully enough. Few technical authors pass this test. The man is a natural teacher who always places himself in the point of view of the student and proceeds from there. A huge, rigorous, fractally detailed but profoundly enjoyable journey of a book. As simple as possible but no simpler. The mighty and beautiful 'lizard book'

Excellent book for understanding and must be used as a reference. It is not for the beginner and as such should not be expected as a tutorial. Once the basics are mastered, then this book comes in to explain why the way things work. For example, if you want to know what a higher order function is and how a map function works, this book is there for you. The indexing is excellent with alphabetical ordering. Deep dive with this book by your side is all I would say. Have not read even a quarter of the book but already impressed. Definitely a desktop reference.