Learning Python 4th Edition

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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Mark Lutz is the world leader in Python training, the author of Python's earliest and best-selling texts, and a pioneering figure in the Python community since 1992. He is also the author of O'Reilly's Programming Python and Python Pocket Reference, and co-author of Learning Python (all in 3rd Editions). Mark can be reached on the web at www.rmi.net/~lutz.

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DedicationPrefaceGetting Started

• Chapter 1: A Python Q&A Session
• Chapter 2: How Python Runs Programs
• Chapter 3: How You Run Programs

Types and Operations

• Chapter 4: Introducing Python Object Types
• Chapter 5: Numeric Types
• Chapter 6: The Dynamic Typing Interlude
• Chapter 7: Strings
• Chapter 8: Lists and Dictionaries
• Chapter 9: Tuples, Files, and Everything Else

Statements and Syntax

• Chapter 10: Introducing Python Statements
• Chapter 11: Assignments, Expressions, and Prints
• Chapter 12: if Tests and Syntax Rules
• Chapter 13: while and for Loops
• Chapter 14: Iterations and Comprehensions, Part 1
• Chapter 15: The Documentation Interlude

Functions

• Chapter 16: Function Basics
• Chapter 17: Scopes
• Chapter 18: Arguments
• Chapter 19: Advanced Function Topics
• Chapter 20: Iterations and Comprehensions, Part 2

Modules

• Chapter 21: Modules: The Big Picture
• Chapter 22: Module Coding Basics
• Chapter 23: Module Packages
• Chapter 24: Advanced Module Topics

Classes and OOP

• Chapter 25: OOP: The Big Picture
• Chapter 26: Class Coding Basics
• Chapter 27: A More Realistic Example
• Chapter 28: Class Coding Details
• Chapter 29: Operator Overloading
• Chapter 30: Designing with Classes
• Chapter 31: Advanced Class Topics

Exceptions and Tools

• Chapter 32: Exception Basics
• Chapter 33: Exception Coding Details
• Chapter 34: Exception Objects
• Chapter 35: Designing with Exceptions

Advanced Topics

• Chapter 36: Unicode and Byte Strings
• Chapter 37: Managed Attributes
• Chapter 38: Decorators
• Chapter 39: Metaclasses

Appendixes

• Installation and Configuration
• Solutions to End-of-Part Exercises

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