Maxwell A. Powerful Python

2nd Edition. — Powerful Python Press, 2017. — 258 p.There are many books for those new to Python, new to programming, or both. Powerful Python is different. Written for experienced developers like you, its carefully crafted chapters teach intermediate and advanced strategies, patterns, and tools for modern Python. Focused on Python 3, with full support for 2.7.
For data scientists, back-end engineers, web developers, sysadmins, devops, QA testers and more. What's included:
An unrelenting selective spotlight on what's most valuable and impactful to working, full-time, professional Python developers
Well-researched, detailed, realistic code on almost every page, powerfully illustrating key points. Very little "toy code"
How to use decorators to add rich features to functions and classes; untangle distinct, frustratingly intertwined concerns in your code; and build powerful, extensible software frameworks
How to use Python in ways that incentivize other developers to use and re-use your code, again and again... amplifying the impact of the code you write, and boosting your reputation among your peers
Powerfully and easily weave iterators and generators throughout your applications, making them massively scalable, highly performant, and far more readable and maintainable
How to fully leverage Python's exception and error model... giving you a detailed understanding even experienced Pythonistas often lack, and putting some of the most powerfully Pythonic exception-handling patterns in your toolbox
How "magic methods" imbue natural, readable, expressive syntax into your classes and objects... and how to "break the rules" to craft stunningly intuitive, compellingly reusable library interfaces
Valuable and powerful design patterns, and how Python's special language features give you uniquely powerful implementations not possible in other languages
Deep and detailed instruction on how to write practical, realistic unit tests... using test-driven development to easily get into a state of flow... where you find yourself implementing feature after feature, keeping your focus with ease for long periods of time
How to rapidly set up effective logging for scripts, sprawling Python applications, and everything in between
An enthusiastic and unapologetic focus on Python 3, and what makes it great... with full explanation and support for getting the same results with Python 2.7Doing More with Python
Scaling With Generators
Generator Patterns and Scalable Composability
Python is Filled With Iterators
The Iterator Protocol
Creating Collections with Comprehensions
Advanced Functions
Decorators
Exceptions and Errors
Classes and Objects: Beyond The Basics
Automated Testing and TDD
String Formatting
Logging in Python