Powerful Python eBook

There are PLENTY of books written for programming in Python today. The only problem: almost all are written for those new to programming, new to Python, or both.

That does you no good. In contrast to the sprawling wealth of resources available for learning "hello world" in Python, there's been very little for those of us far past that stage... professionals seeking to elevate our mastery of the language, and our craft.

That's why I wrote Powerful Python: The Most Impactful Patterns, Features, And Development Strategies Modern Python Provides. What's inside:

On top of this, your purchase of the digital edition - either by itself, or via the "digital upgrade" on the print book - gets you lifetime free access to all future digital editions and updates.

Zero Risk "Money-Back" Guarantee

It's important you are not just completely satisfied, but absolutely delighted with the value you receive from reading "Powerful Python". This is why I have invested years writing, re-writing, re-re-writing, getting feedback from working developers, and then - based on their tough but honest feedback - tearing out whole chapters and starting from scratch. Honestly, it feels like I've written three books, not just one.

But none of that matters. The only thing that does is that you are more than happy with the result... that you feel your hard-earned money - and even more valuable time - are well invested.

While I can't give you back your time, I can and will happily refund a full 100% of your purchase price of the digital edition if you are not completely satisfied, delighted, and supremely happy with the value you've gained. Take all the time you need over 30 days to read and study the book, and put it into practice. If it didn't live up to this standard for you, simply contact customer service within this period to get your immediate, no-hassle refund. You can even keep the current digital edition for your trouble. (Different terms apply to the print book - see Amazon's return policy for details.)

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Powerful Python eBook


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Questions and Answers

Why would I buy a digital PDF if I can read the web version for free?
By all means, just read the web version if that works for you. Some of the reasons to buy the PDF are that it has an index; it is easy to read offline; and you can print it out.
How long is the book?
The print book has a bit over 200 pages of main matter (excluding table of contents, index, etc.) The digital version's page count is slightly different, since the page size (and hence, number of words per page) is different.
What's the digital book's format, exactly?

A regular PDF file, in printable US letter format. To make it easiest on you, the reader, it has no DRM or password protection. Files are watermarked with your email address.

Full Book Contents

1 Doing More with Python

2 Scaling With Generators
2.1 Iteration in Python
2.2 Generator Functions
2.3 Generator Patterns and Scalable Composability
2.4 Python is Filled With Iterators
2.5 The Iterator Protocol

3 Creating Collections with Comprehensions
3.1 List Comprehensions
3.2 Formatting For Readability (And More)
3.3 Multiple Sources and Filters
3.4 Comprehensions and Generators
3.5 Dictionaries, Sets, and Tuples
3.6 Limits of Comprehensions

4 Advanced Functions
4.1 Accepting & Passing Variable Arguments
4.2 Functions As Objects
4.3 Key Functions in Python

5 Decorators
5.1 The Basic Decorator
5.2 Data In Decorators
5.3 Decorators That Take Arguments
5.4 Class-based Decorators
5.5 Decorators For Classes
5.6 Preserving the Wrapped Function

6 Exceptions and Errors
6.1 The Basic Idea
6.2 Exceptions Are Objects
6.3 Raising Exceptions
6.4 Catching And Re-raising
6.5 The Most Diabolical Python Anti-Pattern

7 Classes and Objects: Beyond The Basics
7.1 Properties
7.2 The Factory Patterns
7.3 The Observer Pattern
7.4 Magic Methods
7.5 Rebelliously Misusing Magic Methods

8 Automated Testing and TDD
8.1 What is Test-Driven Development?
8.2 Unit Tests And Simple Assertions
8.3 Fixtures And Common Test Setup
8.4 Asserting Exceptions
8.5 Using Subtests
8.6 Final thoughts

9 Logging in Python
9.1 The Basic Interface
9.2 Configuring The Basic Interface
9.3 Passing Arguments
9.4 Beyond Basic: Loggers
9.5 Log Destinations: Handlers and Streams
9.6 Logging to Multiple Destinations
9.7 Record Layout with Formatters

10 What's Next?