Lutz M. Learning Python

5th Edition. — O’Reilly Media, Inc., 2013. — 1600 p. — ISBN: 1449355730.Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3_X and 2_X lines—plus all other releases in common use today.
You’ll also learn some advanced language features that recently have become more common in Python code:
Explore Python’s major built-in object types such as numbers, lists, and dictionaries.
Create and process objects with Python statements, and learn Python’s general syntax model.
Use functions to avoid code redundancy and package code for reuse.
Organize statements, functions, and other tools into larger components with modules.
Dive into classes: Python’s object-oriented programming tool for structuring code.
Write large programs with Python’s exception-handling model and development tools.
Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing.Getting Started
A Python Q&A Session
How Python Runs Programs
How You Run Programs
Types and Operations
Introducing Python Object Types
Numeric Types
The Dynamic Typing Interlude
String Fundamentals
Lists and Dictionaries
Tuples, Files, and Everything Else
Statements and Syntax
Introducing Python Statements
Assignments, Expressions, and Prints
if Tests and Syntax Rules
while and for Loops
Iterations and Comprehensions
The Documentation Interlude
Functions and Generators
Function Basics
Scopes
Arguments
Advanced Function Topics
Comprehensions and Generations
The Benchmarking Interlude
Modules and Packages
Modules: The Big Picture
Module Coding Basics
Module Packages
Advanced Module Topics
Classes and OOP
OOP: The Big Picture
Class Coding Basics
A More Realistic Example
Class Coding Details
Operator Overloading
Designing with Classes
Advanced Class Topics
Exceptions and Tools
Exception Basics
Exception Coding Details
Exception Objects
Designing with Exceptions
Advanced Topics
Unicode and Byte Strings
Managed Attributes
Decorators
Metaclasses
All Good Things
Appendixes
Appendix Installation and Configuration
Appendix The Python 3.3 Windows Launcher
Appendix Python Changes and This Book
Appendix Solutions to End-of-Part Exercises
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