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“Each item in Slatkin’s Effective Python teaches a self-contained lesson with its own source code. This makes the book random-access: Items are easy to browse and study in whatever order the reader needs. I will be recommending Effective Python to students as an admirably compact source of mainstream advice on a very broad range of topics for the intermediate Python programmer.”
—Brandon Rhodes, software engineer at Dropbox and chair of PyCon 2016-2017
It’s easy to start coding with Python, which is why the language is so popular. However, Python’s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.
Effective Python will help you master a truly “Pythonic” approach to programming, harnessing Python’s full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers’ best-selling Effective C++, Brett Slatkin brings together 59 Python best practices, tips, and shortcuts, and explains them with realistic code examples.
Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You’ll learn the best way to accomplish key tasks, so you can write code that’s easier to understand, maintain, and improve.
Key features include
- Actionable guidelines for all major areas of Python 3.x and 2.x development, with detailed explanations and examples
- Best practices for writing functions that clarify intention, promote reuse, and avoid bugs
- Coverage of how to accurately express behaviors with classes and objects
- Guidance on how to avoid pitfalls with metaclasses and dynamic attributes
- More efficient approaches to concurrency and parallelism
- Better techniques and idioms for using Python’s built-in modules
- Tools and best practices for collaborative development
- Solutions for debugging, testing, and optimization in order to improve quality and performance
- Sales Rank: #47471 in eBooks
- Published on: 2015-02-12
- Released on: 2015-02-12
- Format: Kindle eBook
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
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.
Most helpful customer reviews
44 of 47 people found the following review helpful.
Time-effective guide to best practices and conventions
By Fred Jonsson
Most Python developers are familiar with the widespread mantra that "[t]here should be one-- and preferably only one --obvious way to do it.” In Python itself, it is often the case that there is one obvious and well-established One Way To Do It™. But as a community – and even as organizations and teams – we frequently fail to make use of customary One Way™ approaches. We contribute code in a variety of styles, and to varying degrees of re-inventing Python's included wheels.
This is hardly a fault of the language development community, which is mindful of the One Way™ principle in design discussions. Nor is it due to lack of community-established practices, which are spread around in PEPs, high-impact open source projects, mailing list advice, and the blogs of prominent community members.
As developers, we perhaps collectively tend to neglect reading code, following our communities, improving our fundamentals, and thinking about how we improve our approach to building software. And perhaps it's because these activities seem to draw away from our favorite activity: building stuff.
But, of course, the activity of writing code is just one component of building stuff. Knowledge of our tools and how to best use them helps us to build more stuff in less time, spend less time debugging and fixing our old stuff, and work more easily with others.
Effective Python is a time-efficient way to learn – or remind yourself – what the best practices are and why we use them. It’s a concise book of practical techniques to write maintainable, performant and robust code using practices widely accepted in the community.
In the style of Scott Meyer's "Effective" series, the book is split into 59 sections (referred to as "items"), each covering an important topic conducive to high-quality Python code. These items connect to a larger theme within each chapter, such as "Pythonic Thinking", "Metaclasses and Attributes", or "Concurrency and Parallelism”.
Each item introduces a common scenario in Python development, often followed by a simple way to address the problem at hand. The book frequently starts out with simplistic code that developers may be temped to use to solve a particular problem, points out issues with it, and incrementally improves the code to incorporate best practices. The alternative solution(s) proposed are often both simpler and more robust than the seemingly straightforward, but flawed, initial approach. A few sections substantiate the preferred approach with simple explanations of what Python is doing under the hood.
The broad set of topics addressed include readability ("Prefer Helper Classes Over Bookkeeping with Dictionaries and Tuples"), protecting memory ("Use tracemalloc to Understand Memory Usage and Leaks"), writing defensive code ("Know the Differences Between bytes, str, and unicode"), creating powerful classes ("Annotate Class Attributes with Metaclasses"), using parallelism ("Consider Coroutines to Run Many Functions Concurrently"), and development practices ("Profile Before Optimizing").
Unlike many books on programming languages, Effective Python leaves installation instructions and a basic language tutorial to books focused on Python beginners, and assumes that the reader has cursory knowledge of the language — or is, occasionally, willing to look something up.
To help the reader understand some of the issues in a broader context, many of the items refer to other sections for explanations of out-of-scope but related topics. The contained nature of the items makes them equally suitable for random access (skipping from one section to another) as for back-to-back reading.
This book distills the best practices spread around the ‘net. Reading it is a time-effective way to make sure you’re up to speed with writing great Python code.
17 of 17 people found the following review helpful.
Insightful information about many aspects of Python coding.
By Marcin Pohl
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.
20 of 21 people found the following review helpful.
A great selection of small pieces of wisdom on some of the most advanced Python’s topics.
By Jascha Casadio
If you browse Amazon’s catalog for Python books, you end up with several pages of titles that introduce you to the language, those that get you from hello world up to classes and a little taste of the standard library. What a struggle for those that already know what a closure is to find something worth reading! Brett’s book is one of those that experienced developers hope to see showing up as on top of the results instead: a title that covers those lesser used features that teach you to write better, robust code.
This thin book, 250 pages only, is split into 59 recipes, short and concise reviews of real life scenarios that every Python developer faces. Each focuses on a specific problem and starts with a brief overview . Next, we find an inefficient, not Pythonic solution that most of the intermediate programmers would come up with to solve it. What follows is a discussion that gets the reader, step by step, from this initial solution to an elegant and robust one. Brett clearly explains the benefits and the issues raised by each intermediate solution. Finally, he sails us to the Pythonic way introducing features and techniques.
As stated, the book is not meant to be read by a beginner. If the reader does not have a strong Python knowledge, he will struggle. Concepts like comprehension lists, closures and decorators must be well understood already.
The small size of the book could fool the reader. It’s thin, but intense, plenty of things to learn. If the reader doesn’t get lost, by the time he gets to the back cover, he will certainly start developing better code.
A real pearl. Every Python developer should jealously own a copy.
Suggested readings:
Learning Python Design Patterns
Learning Cython Programming
As usual, you can find more reviews on my personal blog: http://books.lostinmalloc.com Feel free to pass by and share your thoughts!
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