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Writing Idiomatic Python 3, by Jeff Knupp
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The "Writing Idiomatic Python" book is finally here! Chock full of code samples, you'll learn the "Pythonic" way to accomplish common tasks. Each idiom comes with a detailed description, example code showing the "wrong" way to do it, and code for the idiomatic, "Pythonic" alternative.
*This version of the book is for Python 3.3+. There is also a Python 2.7.3+ version available.*
"Writing Idiomatic Python" contains the most common and important Python idioms in a format that maximizes identification and understanding. Each idiom is presented as a recommendation to write some commonly used piece of code. It is followed by an explanation of why the idiom is important. It also contains two code samples: the "Harmful" way to write it and the "Idiomatic" way.
* The "Harmful" way helps you identify the idiom in your own code.
* The "Idiomatic" way shows you how to easily translate that code into idiomatic Python.
This book is perfect for you:
* If you're coming to Python from another programming language
* If you're learning Python as a first programming language
* If you're looking to increase the readability, maintainability, and correctness of your Python code
What is "Idiomatic" Python?
Every programming language has its own idioms. Programming language idioms are nothing more than the generally accepted way of writing a certain piece of code.
Consistently writing idiomatic code has a number of important benefits:
* Others can read and understand your code easily
* Others can maintain and enhance your code with minimal effort
* Your code will contain fewer bugs
* Your code will teach others to write correct code without any effort on your part
- Sales Rank: #224057 in eBooks
- Published on: 2013-11-30
- Released on: 2013-11-30
- Format: Kindle eBook
Most helpful customer reviews
6 of 6 people found the following review helpful.
Nice, short book to make yourself familiar with Pythonic syntaxes
By Amazon Customer
"Writing Idiomatic Python 3" attempts to uncover the elegance of Python3 syntax; what programmers call 'Pythonic code'.
Python has plethora of cool ways to trim down and beautify code. This book deals with them one by one.
What I liked:
I learned a lot of "hidden" features..well, hidden for beginners/intermediate users at least, some of which follow:
- Use of iterable to avoid repetition of value comparison. Sample: if name in ('Tom', 'Dick', 'Harry')
- Use of enumerate() function to eliminate maintenance of an explicit index variable in a loop.
- * operator to represent "rest" of a list while unpacking it.
- Along the same line of unpacking, use of '_' as a placeholder to ignore an unpacked value.
- Clever use of set to eliminate duplicate entries from an Iterable.
- Swiss knife for Iterables: itertools module
What I disliked:
I object against avoiding explicit comparison to None. Agreed, the author has pointed out an exception where one should explicitly compare with None. However, I find it safer to be consistent.
Also, I find it a bit aggressive to use the title "Harmful" in order to depict the non-recommended code sample. I would rather prefer terms "Pythonic" and "UnPythonic".
Who should read this book?
This is a must-read book for people who are acquainted with Python. Complete beginners, however, might find it difficult to keep their heads above water. It kind of hangs in between post-beginner and advanced levels.
I would strongly recommend this book to the Java/c# immigrants. With such a short Pythonic reference in hand, they should feel themselves at home.
Even those who have been writing in Python since long, but are still unaware of Pythonic style of writing code, could find this book an enlightening read.
5 of 5 people found the following review helpful.
Great book for any Python developer!
By Daniel Roy Greenfeld
First of all, this book isn't a tutorial. If you want to get up to speed on Python I recommend Learn Python the Hard Way, 3rd edition, Python In A Day, or Learning Python, 5th Edition. Once you get a basic understanding of Python, this book will suddenly come alive in usefulness.
The author goes over an amazing number of idioms, but in a way that isn't tiring and serves as a great reference. I've programmed in Python since 2005, yet in reading this book I discovered a few things about Python as well some handy tricks to clarify my code. Each chapter, section, or subsection includes both harmful and idiomatic (good) examples displayed in very legible, highlighted code. Also, there are page breaks between each chapter, section, and subsection, making it even easier to reference. For teams and projects, this book can readily serve as an easily reference coding guide. I know because I've been on, or heard about projects where we used it in this capacity.
The book is just pure text and code. Wise move! Books should either have good art or no art. Good or amusing art in a technical book breaks up dense content or reinforces a message, whereas low quality or tacky art distracts the reader and diminishes the entire work.
The only possibly issue I have is the author's preference for absolute over relative arguments in subsection 3.3.2. It's a tiny, tiny issue that depends on your project and use case, so please don't get hung up on it.
All in all, I heartily recommend this book. The price is worth it, and the cleaner code you write will make the book pay for itself in the improved productive of you and your team.
5 of 5 people found the following review helpful.
Great eBook
By Karthz
This is a must buy book for all Python developers - new or experienced.
I got the book with the preorder discount from the author's website. (Both 2.7 and 3.3 - pdf & epub versions for $12.99). It's a great deal and I'm very happy with it, as a new Python developer, coming from a Java environment.
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