Learning Python

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

Autorentext

Mark Lutz is a leading Python trainer, the author of Python's earliest and best-selling texts, and a pioneering figure in the Python world.

Mark is the author of the three O'Reilly books: Learning Python, Programming Python, and Python Pocket Reference, all currently in fourth or fifth editions. He has been using and promoting Python since 1992, started writing Python books in 1995, and began teaching Python classes in 1997. As of Spring 2013, Mark has instructed 260 Python training sessions, taught roughly 4,000 students in live classes, and written Python books that have sold 400,000 units and been translated to at least a dozen languages.

Together, his two decades of Python efforts have helped to establish it as one of the most widely used programming languages in the world today. In addition, Mark has been in the software field for 30 years. He holds BS and MS degrees in computer science from the University of Wisconsin where he explored implementations of the Prolog language, and over his career has worked as a professional software developer on compilers, programming tools, scripting applications, and assorted client/server systems.

Mark maintains a training website (http://learning-python.com) and an additional book support site on the Web (http://www.rmi.net/~lutz).

Zusammenfassung
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.

Inhalt

Dedication Preface Getting 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: String Fundamentals
• 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

• Chapter 15: The Documentation Interlude Functions and Generators

• Chapter 16: Function Basics
• Chapter 17: Scopes
• Chapter 18: Arguments
• Chapter 19: Advanced Function Topics
• Chapter 20: Comprehensions and Generations

• Chapter 21: The Benchmarking Interlude Modules and Packages

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

• Chapter 25: Advanced Module Topics Classes and OOP

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

• Chapter 32: Advanced Class Topics Exceptions and Tools

• Chapter 33: Exception Basics
• Chapter 34: Exception Coding Details
• Chapter 35: Exception Objects

• Chapter 36: Designing with Exceptions Advanced Topics

• Chapter 37: Unicode and Byte Strings
• Chapter 38: Managed Attributes
• Chapter 39: Decorators
• Chapter 40: Metaclasses

• Chapter 41: All Good Things Appendixes

• Installation and Configuration
• The Python 3.3 Windows Launcher
• Python Changes and This Book
• Solutions to End-of-Part Exercises Colophon