Download PDF Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)
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Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)
Download PDF Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)
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Review
“I’ve been programming in Python for years and thought I knew it pretty well. Thanks to this treasure trove of tips and techniques, I realize there’s so much more I could be doing with my Python code to make it faster (e.g., using built-in data structures), easier to read (e.g., enforcing keyword-only arguments), and much more Pythonic (e.g., using zip to iterate over lists in parallel).” –Pamela Fox, educationeer, Khan Academy “If I had this book when I first switched from Java to Python, it would have saved me many months of repeated code rewrites, which happened each time I realized I was doing particular things ‘non-Pythonically.’ This book collects the vast majority of basic Python ‘must-knows’ into one place, eliminating the need to stumble upon them one-by-one over the course of months or years. The scope of the book is impressive, starting with the importance of PEP8 as well as that of major Python idioms, then reaching through function, method and class design, effective standard library use, quality API design, testing, and performance measurement–this book really has it all. A fantastic introduction to what it really means to be a Python programmer for both the novice and the experienced developer.” –Mike Bayer, creator of SQLAlchemy “Effective Python will take your Python skills to the next level with clear guidelines for improving Python code style and function.” –Leah Culver, developer advocate, Dropbox “This book is an exceptionally great resource for seasoned developers in other languages who are looking to quickly pick up Python and move beyond the basic language constructs into more Pythonic code. The organization of the book is clear, concise, and easy to digest, and each item and chapter can stand on its own as a meditation on a particular topic. The book covers the breadth of language constructs in pure Python without confusing the reader with the complexities of the broader Python ecosystem. For more seasoned developers the book provides in-depth examples of language constructs they may not have previously encountered, and provides examples of less commonly used language features. It is clear that the author is exceptionally facile with Python, and he uses his professional experience to alert the reader to common subtle bugs and common failure modes. Furthermore, the book does an excellent job of pointing out subtleties between Python 2.X and Python 3.X and could serve as a refresher course as one transitions between variants of Python.” –Katherine Scott, software lead, Tempo Automation “This is a great book for both novice and experienced programmers. The code examples and explanations are well thought out and explained concisely and thoroughly.” –C. Titus Brown, associate professor, UC Davis “This is an immensely useful resource for advanced Python usage and building cleaner, more maintainable software. Anyone looking to take their Python skills to the next level would benefit from putting the book’s advice into practice.” –Wes McKinney, creator of pandas; author of Python for Data Analysis; and software engineer at Cloudera
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About the Author
Brett Slatkin is a Senior Staff Software Engineer at Google. He is the engineering lead and co-founder of Google Consumer Surveys. He formerly worked on Google App Engine's Python infrastructure. He is the co-creator of the PubSubHubbub protocol. 9 years ago he cut his teeth using Python to manage Google's enormous fleet of servers. Outside of his day job, he works on open source tools and writes about software, bicycles, and other topics on his personal website. He earned his B.S. in Computer Engineering from Columbia University in the City of New York. He lives in San Francisco.
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Product details
Series: Effective Software Development Series
Paperback: 256 pages
Publisher: Addison-Wesley Professional; 1 edition (March 8, 2015)
Language: English
ISBN-10: 9780134034287
ISBN-13: 978-0134034287
ASIN: 0134034287
Product Dimensions:
7 x 0.8 x 9 inches
Shipping Weight: 14.4 ounces (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
85 customer reviews
Amazon Best Sellers Rank:
#20,532 in Books (See Top 100 in Books)
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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