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Product details
File Size: 14831 KB
Print Length: 249 pages
Page Numbers Source ISBN: 9332552363
Simultaneous Device Usage: Up to 5 simultaneous devices, per publisher limits
Publisher: Addison-Wesley Professional; 1 edition (February 12, 2015)
Publication Date: February 12, 2015
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00TKGY0GU
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Amazon Best Sellers Rank:
#70,651 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
I'm really enjoying this book as an intermediate python programmer looking to learn more "pythonic" ways of doing things and taking advantage of the full standard library and more performant practices. This book is very practical and you can skip around in no particular order and there are concise code examples to demonstrate the ideas contained in each tip. This book is more about the philosophy of good code design and scalability than it is a workbook to accomplish specific tasks, so don't expect to read it and code along and make really interesting projects. Instead, think of this book as a set of best practices to make your code more easily debugged, easier to read, easier for other people to use, and hopefully have better performance as well.
Very good book. Starts with basics, but it quickly goes into 'magic' territory, so whether you're a veteran or just wanting to see what's special about Python, you will find some new approaches.The examples are clear. They are not some 'dry' Class X, method Y sort of examples, they tend to use examples that better illustrate the scenario; so if you at first don't get the author's explanation, you might see what's going on because of the connotations that come with sensible examples.The formatting and layout are fairly good, especially with syntax highlighting code. There are few goofy spots where text talks about code that's displayed on the next page, so to relate one to the other you need to flip pages back'n'forth, and some tables/boxes spill over to the next page for like two lines. But that's just minor nit-picking.My biggest 'complaint' is about what's NOT in the book. There is only a slight mention of itertools, or any functional programming concepts, that are so neatly baked into Python. There is also very slim amount of information on testing, which I would like to read more about, as it's become very commonplace. I would love to see a second edition of this book with extended sections on the aforementioned topics.
Although I'm only about half way through the book I've already learned a lot of really cool tricks that I've actually applied in my own programs since. (I hate learning tricks that aren't that useful in practical use cases) So far, I especially enjoyed the sections about list comprehension and generators. Generators were completely new to me and I was amazed at how useful they are for large data sets!There's lots of cool tricks to learn. The chapters are short enough where you can just sit down for 15 minutes and knock one out. This is great for me when I just want to read a little before bed, but I've also sat down and read the book for a few hours at a time. I've had no problems with the Kindle version. Although you can skip around in the book, I recommend a front to back read, as some of the concepts build on each other.
This is exactly what I needed. I have been programming Python for a couple of years as a hobbyist, but to a degree flying by the seat of my pants. This book, in bite-sized-chunks, formalises my understanding of dozens of topics which a professional programmer should know about. The author is such a professional programmer (at google no less). I am grateful for this book, and I have already ordered the Javascript version.
Excellent book. As someone who is new to python but has learned many other languages, this book was perfect for highlighting nuanced aspects of the language. The format of this book also makes it easy to revisit topics for occasional tune ups.Many programming books today function almost as language documentation. Few do what this book does; focus on the how and why.
For self educated person, essential book to read.
Haven't finished reading it yet. I use it as a guide to write better, cleaner code at work and it's been wonderful so far. For example, my docstrings are much more consistent and coherent. This book is useful even for experienced Python developers.
Just an awesome read. Each item is just the perfect length to dedicate half-an-hour of each morning to study. Great examples, nicely formatted, great pace. Love this book.
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