Learning Python: Powerful Object-Oriented Programming Review

Learning Python: Powerful Object-Oriented Programming
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Learning Python: Powerful Object-Oriented Programming ReviewThis book will teach you Python if you have a lot of patience and are willing to wade through many pages of text to get information. The author wastes a lot of ink stating things like "I'll introduce you to topic XYZ, but you will have to wait until a later chapter to go into detail." Or introducing a topic and then declaring it is outside the books (1216 page) scope. Here's an example from page 85:
"Text pattern matching is an advanced tool outside this book's scope, but readers with backgrounds in other scripting languages may be interested to know that to do pattern matching in Python, we import a module called re."
Pattern matching is a critical feature of any scripting language. I was surprised to see such an important topic thrown away.
The book is divided into sections. I've put page counts and a summary description of the content to further describe the glacial pace of the book:
Part 1: Getting Stared: Pages 1- 72
72 pages to tell you how to run a Python program.
Part 2: Types and Operations 73-258
186 pages to introduce Python types (strings, numbers, sequences, etc)
Page 3: Statements and Syntax - 259-392
If statements are not introduced until Part3.
At this point I gave up and started reading the online tutorial.Learning Python: Powerful Object-Oriented Programming Overview
Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course. Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0.

Learn about Python's major built-in object types, such as numbers, lists, and dictionaries
Create and process objects using Python statements, and learn Python's general syntax model
Structure and reuse code using functions, Python's basic procedural tool
Learn about Python modules: packages of statements, functions, and other tools, organized into larger components
Discover Python's object-oriented programming tool for structuring code
Learn about the exception-handling model, and development tools for writing larger programs
Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing


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