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學習Python（第五版，上下冊，影印版）

出版時間：2013年12月

頁數(shù)：1600

“我愿意將《學習Python》最先推薦給那些想要通過Python來學習編程的人。”
——Doug Hellmann，
Racemi公司資深軟件工程師

通過這本操作手冊，你將獲得針對核心Python語言的一次全面而又深入的介紹。基于作者Mark Lutz的暢銷培訓課程，該第五版修訂本將可以幫助你快速使用Python編寫高效和高質量的代碼。無論你是編程新手還是精通其他語言的有經(jīng)驗的開發(fā)人員，這本書都適合于你。
通過小測驗、練習和有效的講解，這本易于遵循、自學的教程可以讓你上手Python 2.7和Python 3.3——3.x和2.x產(chǎn)品線上的最新發(fā)布版本——以及目前其他常見的版本。你也將學到一些最近在Python代碼中越來越常見的高級語言特性。

· 探討Python主要的內置對象類型，比如數(shù)字、列表和字典
· 使用Python語句創(chuàng)建和處理對象并且學習Python的通用語法模型
· 使用函數(shù)以避免代碼冗余并且重用包代碼
· 使用模塊來組織語句、函數(shù)和其他工具到更大的組件中
· 深入研究類：Python的適合于結構化代碼的面向對象編程工具
· 使用Python的異常處理和開發(fā)工具來編寫大型程序
· 學習高級Python工具，包括修飾符、描述符、元類和Unicode處理

Mark Lutz是世界級的Python培訓講師。他是最早和最暢銷Python書籍的作者。從1992年起，他就是Python社區(qū)的先鋒。Mark擁有30年的軟件開發(fā)經(jīng)驗，他是O’Reilly出版社的《Python編程》（第四版）和《Python Pocket Reference》（第四版）的作者。

目錄
產(chǎn)品信息
關于作者
封面介紹

Chapter 1: A Python Q&A Session
Why Do People Use Python?
Is Python a “Scripting Language”?
OK, but What’s the Downside?
Who Uses Python Today?
What Can I Do with Python?
How Is Python Developed and Supported?
What Are Python’s Technical Strengths?
How Does Python Stack Up to Language X?
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 2: How Python Runs Programs
Introducing the Python Interpreter
Program Execution
Execution Model Variations
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 3: How You Run Programs
The Interactive Prompt
System Command Lines and Files
Unix-Style Executable Scripts: #!
Clicking File Icons
Module Imports and Reloads
Using exec to Run Module Files
The IDLE User Interface
Other IDEs
Other Launch Options
Which Option Should I Use?
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Test Your Knowledge: Part I Exercises
Types and Operations
Chapter 4: Introducing Python Object Types
The Python Conceptual Hierarchy
Why Use Built-in Types?
Python’s Core Data Types
Numbers
Strings
Lists
Dictionaries
Tuples
Files
Other Core Types
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 5: Numeric Types
Numeric Type Basics
Numbers in Action
Other Numeric Types
Numeric Extensions
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 6: The Dynamic Typing Interlude
The Case of the Missing Declaration Statements
Shared References
Dynamic Typing Is Everywhere
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 7: String Fundamentals
This Chapter’s Scope
String Basics
String Literals
Strings in Action
String Methods
String Formatting Expressions
String Formatting Method Calls
General Type Categories
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 8: Lists and Dictionaries
Lists
Lists in Action
Dictionaries
Dictionaries in Action
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 9: Tuples, Files, and Everything Else
Tuples
Files
Core Types Review and Summary
Built-in Type Gotchas
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Test Your Knowledge: Part II Exercises
Statements and Syntax
Chapter 10: Introducing Python Statements
The Python Conceptual Hierarchy Revisited
Python’s Statements
A Tale of Two ifs
A Quick Example: Interactive Loops
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 11: Assignments, Expressions, and Prints
Assignment Statements
Expression Statements
Print Operations
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 12: if Tests and Syntax Rules
if Statements
Python Syntax Revisited
Truth Values and Boolean Tests
The if/else Ternary Expression
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 13: while and for Loops
while Loops
break, continue, pass, and the Loop else
for Loops
Loop Coding Techniques
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 14: Iterations and Comprehensions
Iterations: A First Look
List Comprehensions: A First Detailed Look
Other Iteration Contexts
New Iterables in Python 3.X
Other Iteration Topics
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 15: The Documentation Interlude
Python Documentation Sources
Common Coding Gotchas
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Test Your Knowledge: Part III Exercises
Functions and Generators
Chapter 16: Function Basics
Why Use Functions?
Coding Functions
A First Example: Definitions and Calls
A Second Example: Intersecting Sequences
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 17: Scopes
Python Scope Basics
The global Statement
Scopes and Nested Functions
The nonlocal Statement in 3.X
Why nonlocal? State Retention Options
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 18: Arguments
Argument-Passing Basics
Special Argument-Matching Modes
The min Wakeup Call!
Generalized Set Functions
Emulating the Python 3.X print Function
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 19: Advanced Function Topics
Function Design Concepts
Recursive Functions
Function Objects: Attributes and Annotations
Anonymous Functions: lambda
Functional Programming Tools
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 20: Comprehensions and Generations
List Comprehensions and Functional Tools
Generator Functions and Expressions
Comprehension Syntax Summary
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 21: The Benchmarking Interlude
Timing Iteration Alternatives
Timing Iterations and Pythons with timeit
Other Benchmarking Topics: pystones
Function Gotchas
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Test Your Knowledge: Part IV Exercises
Modules and Packages
Chapter 22: Modules: The Big Picture
Why Use Modules?
Python Program Architecture
How Imports Work
Byte Code Files: __pycache__ in Python 3.2+
The Module Search Path
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 23: Module Coding Basics
Module Creation
Module Usage
Module Namespaces
Reloading Modules
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 24: Module Packages
Package Import Basics
Package Import Example
Why Use Package Imports?
Package Relative Imports
Python 3.3 Namespace Packages
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 25: Advanced Module Topics
Module Design Concepts
Data Hiding in Modules
Enabling Future Language Features: __future__
Mixed Usage Modes: __name__ and __main__
Example: Dual Mode Code
Changing the Module Search Path
The as Extension for import and from
Example: Modules Are Objects
Importing Modules by Name String
Example: Transitive Module Reloads
Module Gotchas
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Test Your Knowledge: Part V Exercises
Classes and OOP
Chapter 26: OOP: The Big Picture
Why Use Classes?
OOP from 30,000 Feet
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 27: Class Coding Basics
Classes Generate Multiple Instance Objects
Classes Are Customized by Inheritance
Classes Can Intercept Python Operators
The World’s Simplest Python Class
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 28: A More Realistic Example
Step 1: Making Instances
Step 2: Adding Behavior Methods
Step 3: Operator Overloading
Step 4: Customizing Behavior by Subclassing
Step 5: Customizing Constructors, Too
Step 6: Using Introspection Tools
Step 7 (Final): Storing Objects in a Database
Future Directions
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 29: Class Coding Details
The class Statement
Methods
Inheritance
Namespaces: The Conclusion
Documentation Strings Revisited
Classes Versus Modules
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 30: Operator Overloading
The Basics
Indexing and Slicing: __getitem__ and __setitem__
Index Iteration: __getitem__
Iterable Objects: __iter__ and __next__
Membership: __contains__, __iter__, and __getitem__
Attribute Access: __getattr__ and __setattr__
String Representation: __repr__ and __str__
Right-Side and In-Place Uses: __radd__ and __iadd__
Call Expressions: __call__
Comparisons: __lt__, __gt__, and Others
Boolean Tests: __bool__ and __len__
Object Destruction: __del__
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 31: Designing with Classes
Python and OOP
OOP and Inheritance: “Is-a” Relationships
OOP and Composition: “Has-a” Relationships
OOP and Delegation: “Wrapper” Proxy Objects
Pseudoprivate Class Attributes
Methods Are Objects: Bound or Unbound
Classes Are Objects: Generic Object Factories
Multiple Inheritance: “Mix-in” Classes
Other Design-Related Topics
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 32: Advanced Class Topics
Extending Built-in Types
The “New Style” Class Model
New-Style Class Changes
New-Style Class Extensions
Static and Class Methods
Decorators and Metaclasses: Part 1
The super Built-in Function: For Better or Worse?
Class Gotchas
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Test Your Knowledge: Part VI Exercises
Exceptions and Tools
Chapter 33: Exception Basics
Why Use Exceptions?
Exceptions: The Short Story
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 34: Exception Coding Details
The try/except/else Statement
The try/finally Statement
Unified try/except/finally
The raise Statement
The assert Statement
with/as Context Managers
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 35: Exception Objects
Exceptions: Back to the Future
Why Exception Hierarchies?
Built-in Exception Classes
Custom Print Displays
Custom Data and Behavior
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 36: Designing with Exceptions
Nesting Exception Handlers
Exception Idioms
Exception Design Tips and Gotchas
Core Language Summary
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Test Your Knowledge: Part VII Exercises
Advanced Topics
Chapter 37: Unicode and Byte Strings
String Changes in 3.X
String Basics
Coding Basic Strings
Coding Unicode Strings
Using 3.X bytes Objects
Using 3.X/2.6+ bytearray Objects
Using Text and Binary Files
Using Unicode Files
Other String Tool Changes in 3.X
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 38: Managed Attributes
Why Manage Attributes?
Properties
Descriptors
__getattr__ and __getattribute__
Example: Attribute Validations
Chapter Summary
Test Your Knowledge: Quiz
Chapter 39: Decorators
What’s a Decorator?
The Basics
Coding Function Decorators
Coding Class Decorators
Managing Functions and Classes Directly
Example: “Private” and “Public” Attributes
Example: Validating Function Arguments
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 40: Metaclasses
To Metaclass or Not to Metaclass
The Metaclass Model
Declaring Metaclasses
Coding Metaclasses
Inheritance and Instance
Metaclass Methods
Example: Adding Methods to Classes
Example: Applying Decorators to Methods
Chapter Summary
Test Your Knowledge: Quiz
Test Your Knowledge: Answers
Chapter 41: All Good Things
The Python Paradox
Where to Go From Here
Encore: Print Your Own Completion Certificate!
Appendixes
Appendix Installation and Configuration
Installing the Python Interpreter
Configuring Python
For More Help
Appendix The Python 3.3 Windows Launcher
The Unix Legacy
The Windows Legacy
Introducing the New Windows Launcher
A Windows Launcher Tutorial
Pitfalls of the New Windows Launcher
Conclusions: A Net Win for Windows
Appendix Python Changes and This Book
Major 2.X/3.X Differences
General Remarks: 3.X Changes
Fifth Edition Python Changes: 2.7, 3.2, 3.3
Fourth Edition Python Changes: 2.6, 3.0, 3.1
Third Edition Python Changes: 2.3, 2.4, 2.5
Earlier and Later Python Changes
Appendix Solutions to End-of-Part Exercises
Part I, Getting Started
Part II, Types and Operations
Part III, Statements and Syntax
Part IV, Functions and Generators
Part V, Modules and Packages
Part VI, Classes and OOP
Part VII, Exceptions and Tools

書名：學習Python（第五版，上下冊，影印版）

作者：Mark Lutz 著

國內出版社：東南大學出版社

出版時間：2013年12月

頁數(shù)：1600

書號：978-7-5641-4597-2

原版書書名：Learning Python, 5th Edition

原版書出版商：O'Reilly Media

Mark Lutz

作為全球Python培訓界的領軍人物。Mark Lutz是Python最暢銷書籍的作者，也是Python社區(qū)的先驅。
Mark 是O’Reilly出版的《Programming Python》和《Python Pocket Reference》的作者，這兩本書于2009年都已經(jīng)出版了第3版。Mark自1992年開始接觸Python，1995年開始撰寫有關Python的書籍，從1997年開始教授Python課程。截止到2009年，他已經(jīng)開辦了225個Python短期培訓課程，教授了大約3500名學習者，銷售了大約25萬冊有關Python的書籍。許多書被翻譯成十多種語言。
此外，Mark擁有威斯康星大學計算機科學學士和碩士學位，在過去的25年中，他主要從事編譯器、編程工具、腳本程序以及各種客戶端/服務器系統(tǒng)方面的工作。你也可以通過訪問http://www.rmi.net/~lutz與他取得聯(lián)系。

查看Mark Lutz更多信息

"The animal on the cover of Learning Python, Fifth Edition, is a wood rat (Neotoma""Muridae). The wood rat lives in a wide range of conditions (mostly rocky, scrub, and desert areas) over much of North and Central America, generally at some distance from humans. Wood rats are good climbers, nesting in trees or bushes up to six meters off the ground; some species burrow underground or in rock crevices or inhabit other species’ abandoned holes."

"These grayish-beige, medium-size rodents are the original pack rats: they carry anything and everything into their homes, whether or not it’s needed, and are especially attracted to shiny objects such as tin cans, glass, and silverware."

"The cover image is a 19th-century engraving from Cuvier’s Animals. The cover font is Adobe ITC Garamond. The text font is Linotype Birka; the heading font is Adobe Myriad Condensed; and the code font is LucasFont’s TheSansMonoCondensed.

購買選項

定價：148.00元

書號：978-7-5641-4597-2

出版社：東南大學出版社

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