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Product details
File Size: 15115 KB
Print Length: 794 pages
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 1 edition (July 30, 2015)
Publication Date: July 30, 2015
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B0131L3PW4
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I was looking for a more structured and faster way to work toward mastery in Python. Common answer to that problem are often to "read more code" or that Python already has a very complete and free reference documentation online. I always found these answers simplistic. You'll need to read and debug thousands of lines of code before reaching anything close to expert insights in a programming language. Most code is simple and doesn't cover the edge cases, which is where true expertise often lies.Fluent Python skips over the basics, which you can easily get online with any tutorial, and rapidly points to Python-specific features rarely present in other languages, Python implementation details and their rationale along with additional external references such as articles or blog posts for those interested in learning more about the subject. It really felt like a treasure box to me.So many programming books simply describe a language feature and call it a day. I found M. Ramalho's approach infinitely more useful for a professional developer. It also shows alternative expert opinions, where a particular feature may be useful or not, etc. It's an approach that is not as clean or as concise, but engineering rarely is and Python knowledge is no exception.
As the title and description suggest, this book truly is to achieve 'fluency' in Python. It touches on nearly every point of the language that is pythonic, describing not just the how and the what, but the why. This book is definitely not a good beginner book for Python (however, someone extremely well versed in Java or C++ could probably benefit from it, if they relied on more basic information from alternative sources), but I wouldn't say it's only for expert users. This book touches on a very wide selection of subjects, from some pretty common Python concepts, like Duck Typing, generators, and function and class decorators to more advanced subjects like abstract base classes, multiple inheritance, mixins, and meta programming. The prose is easy to read and even entertaining. It may be the first programming book I read for enjoyment, and not just reference.Luciano demonstrates that he truly is fluent in Python, and while probably 25% of the chapters were not on any subject that is useful to me, all of them yielded new information and helpful hints, and even tips and tricks to increase performance or readability of the code. I would think that, given the wide range of topics, at least 30% of the book will be extremely helpful to your specific use case, regardless of what that is.
Author has a deep understanding of the language and is a gifted instructor. There is nothing even close to it in terms of depth and clarity for modern Python. Part V which includes coverage of asyncio is worth the price of the whole book. Coverage of more elementary topics such as references, mutability etc are also great. My highest recommendation.
If you like Python and enjoy programming, you are doing yourself a disservice not reading this book. I bought this book for a few months ago and I didn't read it until now. The first few chapters made me regret putting it off for so long.The beginning pages of the books makes it clear who it is for and isn't. If you looking to upgrade your Python, this is THE book. You should have some experience with Python and be comfortable with reading code to get the most out of the book.
This book is great if you already program in Python and want to learn how to make the best use of the language's built-in features that are not common to other languages. If you are a beginner to either programming or Python, I would say this is not a great beginner book because it covers more advanced features. If you want a comprehensive reference book for Python, buy Python Essential Reference (4th Edition) by David Beazley instead of this book, because this book is more about understanding the language as a whole instead of describing every particular detail. Also, if you just want some high-quality example code to use, check out Python Cookbook, 3rd edition, also by David Beazley. In fact, the author of "Fluent Python" recommends both of these books in different chapters of Fluent Python.
One of the best Python books I have read. As the title says, Clear, Concise, and Effective.If I had only one Python book to take to that desert island (and a notebook and infinite power supply), this would be it. It goes into the hows, whys, and actual implementation details under the hood. There's also a good amount of soapboxing which I agree with. Reminds me a bit of "Higher-Order Perl" with the dives into the inner workings of the language.
Whether you're looking for an introduction to Python or a more advanced book: look no further, here it is.It's a pretty thick book, yet concise and well-written. It goes into plenty of detail, so it's great for experts and novices alike. Read this front-to-back or deep dive into particular topics you're interested in (e.g. asyncio or meta-programming).I bought a copy for everyone in my team.
I am an intermediate Python programmer, and I am so far finding this book both readable and highly informative. The book both puts a new spin on what I know already and also tells me many small but memorable details about common language features that I expect to be handy in the future.
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