Download Learning Python: Powerful Object-Oriented Programming (4th by Mark Lutz PDF

By Mark Lutz

Google and YouTube use Python simply because it's hugely adaptable, effortless to take care of, and permits quick improvement. that allows you to write fine quality, effective code that's simply built-in with different languages and instruments, this hands-on booklet may also help you be effective with Python speedy -- even if you're new to programming or simply new to Python. It's an easy-to-follow self-paced instructional, according to writer and Python professional Mark Lutz's well known education path.

Each bankruptcy incorporates a stand-alone lesson on a key section of the language, and incorporates a detailed Test Your Knowledge part with functional workouts and quizzes, so that you can perform new abilities and try your realizing as you move. You'll locate plenty of annotated examples and illustrations that can assist you start with Python 3.0.

* find out about Python's significant integrated item varieties, similar to numbers, lists, and dictionaries
* Create and technique gadgets utilizing Python statements, and research Python's common syntax model
* constitution and reuse code utilizing services, Python's easy procedural tool
* know about Python modules: programs of statements, features, and different instruments, prepared into greater components
* notice Python's object-oriented programming software for structuring code
* know about the exception-handling version, and improvement instruments for writing better programs
* discover complicated Python instruments together with decorators, descriptors, metaclasses, and Unicode processing

Print Release:
September 2009
Ebook Release:
September 2009
Print ISBN:
ISBN 10:
Ebook ISBN:
ISBN 10:

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Additional info for Learning Python: Powerful Object-Oriented Programming (4th Edition)

Example text

Europe, Canada, and Mexico; and have met over 3,000 students along the way. Besides racking up frequent flyer miles, these classes helped me refine this text as well as my other Python books. Over the years, teaching honed the books, and vice versa. In fact, the book you’re reading is derived almost entirely from my classes. Because of this, I’d like to thank all the students who have participated in my courses during the last 12 years. Along with changes in Python itself, your feedback played a huge role in shaping this text.

I hope that most readers of this book will eventually go on to gain a more complete understanding of applicationlevel programming from other texts. Because of its beginner’s focus, Learning Python is designed to be naturally complemented by O’Reilly’s other Python books. For instance, Programming Python, another book I authored, provides larger and more complete examples, along with tutorials on application programming techniques, and was explicitly designed to be a follow-up text to the one you are reading now.

983 What’s a Decorator? Managing Calls and Instances Managing Functions and Classes Using and Defining Decorators Why Decorators? The Basics Function Decorators Class Decorators Decorator Nesting Decorator Arguments Decorators Manage Functions and Classes, Too Coding Function Decorators Tracing Calls State Information Retention Options Class Blunders I: Decorating Class Methods Timing Calls Adding Decorator Arguments Coding Class Decorators Singleton Classes Tracing Object Interfaces Class Blunders II: Retaining Multiple Instances Decorators Versus Manager Functions Why Decorators?

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