Learning Python : Powerful Object-Oriented Programming
Learning Python : Powerful Object-Oriented Programming
Click to enlarge
Author(s): Lutz, Mark
ISBN No.: 9780596158064
Edition: Annotated
Pages: 1,216
Year: 200910
Format: Trade Paper
Price: $ 75.89
Status: Out Of Print

Dedication;Preface; About This Fourth Edition; About The Third Edition; About This Book; Book Updates; About the Programs in This Book; Using Code Examples; Font Conventions; SafariĀ® Books Online; How to Contact Us; Acknowledgments;Getting Started; Chapter 1: A Python Q&A Session; 1.1 Why Do People Use Python?; 1.2 Is Python a "Scripting Language"?; 1.3 OK, but What''s the Downside?; 1.4 Who Uses Python Today?; 1.5 What Can I Do with Python?; 1.6 How Is Python Supported?; 1.7 What Are Python''s Technical Strengths?; 1.


8 How Does Python Stack Up to Language X?; 1.9 Chapter Summary; 1.10 Test Your Knowledge: Quiz; 1.11 Test Your Knowledge: Answers; Chapter 2: How Python Runs Programs; 2.1 Introducing the Python Interpreter; 2.2 Program Execution; 2.3 Execution Model Variations; 2.4 Chapter Summary; 2.


5 Test Your Knowledge: Quiz; 2.6 Test Your Knowledge: Answers; Chapter 3: How You Run Programs; 3.1 The Interactive Prompt; 3.2 System Command Lines and Files; 3.3 Clicking File Icons; 3.4 Module Imports and Reloads; 3.5 Using exec to Run Module Files; 3.6 The IDLE User Interface; 3.


7 Other IDEs; 3.8 Other Launch Options; 3.9 Which Option Should I Use?; 3.10 Chapter Summary; 3.11 Test Your Knowledge: Quiz; 3.12 Test Your Knowledge: Answers; 3.13 Test Your Knowledge: Part I Exercises;Types and Operations; Chapter 4: Introducing Python Object Types; 4.1 Why Use Built-in Types?; 4.


2 Numbers; 4.3 Strings; 4.4 Lists; 4.5 Dictionaries; 4.6 Tuples; 4.7 Files; 4.8 Other Core Types; 4.9 Chapter Summary; 4.


10 Test Your Knowledge: Quiz; 4.11 Test Your Knowledge: Answers; Chapter 5: Numeric Types; 5.1 Numeric Type Basics; 5.2 Numbers in Action; 5.3 Other Numeric Types; 5.4 Numeric Extensions; 5.5 Chapter Summary; 5.6 Test Your Knowledge: Quiz; 5.


7 Test Your Knowledge: Answers; Chapter 6: The Dynamic Typing Interlude; 6.1 The Case of the Missing Declaration Statements; 6.2 Shared References; 6.3 Dynamic Typing Is Everywhere; 6.4 Chapter Summary; 6.5 Test Your Knowledge: Quiz; 6.6 Test Your Knowledge: Answers; Chapter 7: Strings; 7.1 String Literals; 7.


2 Strings in Action; 7.3 String Methods; 7.4 String Formatting Expressions; 7.5 String Formatting Method Calls; 7.6 General Type Categories; 7.7 Chapter Summary; 7.8 Test Your Knowledge: Quiz; 7.9 Test Your Knowledge: Answers; Chapter 8: Lists and Dictionaries; 8.


1 Lists; 8.2 Lists in Action; 8.3 Dictionaries; 8.4 Dictionaries in Action; 8.5 Chapter Summary; 8.6 Test Your Knowledge: Quiz; 8.7 Test Your Knowledge: Answers; Chapter 9: Tuples, Files, and Everything Else; 9.1 Tuples; 9.


2 Files; 9.3 Type Categories Revisited; 9.4 Object Flexibility; 9.5 References Versus Copies; 9.6 Comparisons, Equality, and Truth; 9.7 Python''s Type Hierarchies; 9.8 Other Types in Python; 9.9 Built-in Type Gotchas; 9.


10 Chapter Summary; 9.11 Test Your Knowledge: Quiz; 9.12 Test Your Knowledge: Answers; 9.13 Test Your Knowledge: Part II Exercises;Statements and Syntax; Chapter 10: Introducing Python Statements; 10.1 Python Program Structure Revisited; 10.2 A Tale of Two ifs; 10.3 A Quick Example: Interactive Loops; 10.4 Chapter Summary; 10.


5 Test Your Knowledge: Quiz; 10.6 Test Your Knowledge: Answers; Chapter 11: Assignments, Expressions, and Prints; 11.1 Assignment Statements; 11.2 Expression Statements; 11.3 Print Operations; 11.4 Chapter Summary; 11.5 Test Your Knowledge: Quiz; 11.6 Test Your Knowledge: Answers; Chapter 12: if Tests and Syntax Rules; 12.


1 if Statements; 12.2 Python Syntax Rules; 12.3 Truth Tests; 12.4 The if/else Ternary Expression; 12.5 Chapter Summary; 12.6 Test Your Knowledge: Quiz; 12.7 Test Your Knowledge: Answers; Chapter 13: while and for Loops; 13.1 while Loops; 13.


2 break, continue, pass, and the Loop else; 13.3 for Loops; 13.4 Loop Coding Techniques; 13.5 Chapter Summary; 13.6 Test Your Knowledge: Quiz; 13.7 Test Your Knowledge: Answers; Chapter 14: Iterations and Comprehensions, Part 1; 14.1 Iterators: A First Look; 14.2 List Comprehensions: A First Look; 14.


3 Other Iteration Contexts; 14.4 New Iterables in Python 3.0; 14.5 Other Iterator Topics; 14.6 Chapter Summary; 14.7 Test Your Knowledge: Quiz; 14.8 Test Your Knowledge: Answers; Chapter 15: The Documentation Interlude; 15.1 Python Documentation Sources; 15.


2 Common Coding Gotchas; 15.3 Chapter Summary; 15.4 Test Your Knowledge: Quiz; 15.5 Test Your Knowledge: Answers; 15.6 Test Your Knowledge: Part III Exercises;Functions; Chapter 16: Function Basics; 16.1 Why Use Functions?; 16.2 Coding Functions; 16.3 A First Example: Definitions and Calls; 16.


4 A Second Example: Intersecting Sequences; 16.5 Chapter Summary; 16.6 Test Your Knowledge: Quiz; 16.7 Test Your Knowledge: Answers; Chapter 17: Scopes; 17.1 Python Scope Basics; 17.2 The global Statement; 17.3 Scopes and Nested Functions; 17.4 The nonlocal Statement; 17.


5 Chapter Summary; 17.6 Test Your Knowledge: Quiz; 17.7 Test Your Knowledge: Answers; Chapter 18: Arguments; 18.1 Argument-Passing Basics; 18.2 Special Argument-Matching Modes; 18.3 The min Wakeup Call!; 18.4 Generalized Set Functions; 18.5 Emulating the Python 3.


0 print Function; 18.6 Chapter Summary; 18.7 Test Your Knowledge: Quiz; 18.8 Test Your Knowledge: Answers; Chapter 19: Advanced Function Topics; 19.1 Function Design Concepts; 19.2 Recursive Functions; 19.3 Function Objects: Attributes and Annotations; 19.4 Anonymous Functions: lambda; 19.


5 Mapping Functions over Sequences: map; 19.6 Functional Programming Tools: filter and reduce; 19.7 Chapter Summary; 19.8 Test Your Knowledge: Quiz; 19.9 Test Your Knowledge: Answers; Chapter 20: Iterations and Comprehensions, Part 2; 20.1 List Comprehensions Revisited: Functional Tools; 20.2 Iterators Revisited: Generators; 20.3 3.


0 Comprehension Syntax Summary; 20.4 Timing Iteration Alternatives; 20.5 Function Gotchas; 20.6 Chapter Summary; 20.7 Test Your Knowledge: Quiz; 20.8 Test Your Knowledge: Answers; 20.9 Test Your Knowledge: Part IV Exercises;Modules; Chapter 21: Modules: The Big Picture; 21.1 Why Use Modules?; 21.


2 Python Program Architecture; 21.3 How Imports Work; 21.4 The Module Search Path; 21.5 Chapter Summary; 21.6 Test Your Knowledge: Quiz; 21.7 Test Your Knowledge: Answers; Chapter 22: Module Coding Basics; 22.1 Module Creation; 22.2 Module Usage; 22.


3 Module Namespaces; 22.4 Reloading Modules; 22.5 Chapter Summary; 22.6 Test Your Knowledge: Quiz; 22.7 Test Your Knowledge: Answers; Chapter 23: Module Packages; 23.1 Package Import Basics; 23.2 Package Import Example; 23.3 Why Use Package Imports?; 23.


4 Package Relative Imports; 23.5 Chapter Summary; 23.6 Test Your Knowledge: Quiz; 23.7 Test Your Knowledge: Answers; Chapter 24: Advanced Module Topics; 24.1 Data Hiding in Modules; 24.2 Enabling Future Language Features; 24.3 Mixed Usage Modes: __name__ and __main__; 24.4 Changing the Module Search Path; 24.


5 The as Extension for import and from; 24.6 Modules Are Objects: Metaprograms; 24.7 Importing Modules by Name String; 24.8 Transitive Module Reloads; 24.9 Module Design Concepts; 24.10 Module Gotchas; 24.11 Chapter Summary; 24.12 Test Your Knowledge: Quiz; 24.


13 Test Your Knowledge: Answers; 24.14 Test Your Knowledge: Part V Exercises;Classes and OOP; Chapter 25: OOP: The Big Picture; 25.1 Why Use Classes?; 25.2 OOP from 30,000 Feet; 25.3 Chapter Summary; 25.4 Test Your Knowledge: Quiz; 25.5 Test Your Knowledge: Answers; Chapter 26: Class Coding Basics; 26.1 Classes Generate Multiple Instance Objects; 26.


2 Classes Are Customized by Inheritance; 26.3 Classes Can Intercept Python Operators; 26.4 The World''s Simplest Python Class; 26.5 Chapter Summary; 26.6 Test Your Knowledge: Quiz; 26.7 Test Your Knowledge: Answers; Chapter 27: A More Realistic Example; 27.1 Step 1: Making Instances; 27.2 Step 2: Adding Behavior Methods; 27.


3 Step 3: Operator Overloading; 27.4 Step 4: Customizing Behavior by Subclassing; 27.5 Step 5: Customizing Constructors, Too; 27.6 Step 6: Using Introspection Tools; 27.7 Step 7 (Final): Storing Objects in a Database; 27.8 Future Directions; 27.9 Chapter Summary; 27.10 Test Your Knowledge: Quiz; 27.


11 Test Your Knowledge: Answers; Chapter 28: Class Coding Details; 28.1 The class Statement; 28.2 Methods; 28.3 Inheritance; 28.4 Namespaces: The Whole Story; 28.5 Documentation Strings Revisited; 28.6 Classes Versus Modules; 28.7 Chapter Summary; 28.


8 Test Your Knowledge: Quiz; 28.9 Test Your Knowledge: Answers; Chapter 29: Operator Overloading; 29.1 The Basics; 29.2 Indexing and Slicing: __getitem__ and __setitem__; 29.3 Index Iteration: __getitem__; 29.4 Iterator Objects: __iter__ and __next__; 29.5 Membership: __contains__, __iter__, and __getitem__; 29.6 Attribute Reference: __getattr__ and __setattr__; 29.


7 String Representation: __repr__ and __str__; 29.8 Right-Side and In-Place Addition: __radd__ and __iadd__; 29.9 Call Expressions: __call__; 29.10 Comparisons: __lt__, __gt__, and Others; 29.11 Boolean Tests: __bool__ and __len__; 29.12 Object Destruction: __del__; 29.13 Chapter Summary; 29.14 Test Your Knowledge: Quiz; 29.


15 Test Your Knowledge: Answers; Chapter 30: Designing with Classes; 30.1 Python and OOP; 30.2 OOP and Inheritance: "Is-a" Relationships; 30.3 OOP and Composition: "Has-a" Relationships; 30.4 OOP and Delegation: "Wrapper" Objects; 30.5 Pseudoprivate Class Attributes; 30.6 Methods Are Objects: Bound or Unbound; 30.7 Multiple Inheritance: "Mix-in" Classes; 30.


8 Classes Are Objects: Generic Object Factories; 30.9 Other Design-Related Topics; 30.10 Chapter Summary; 30.11 Test Your Knowledge: Quiz; 30.12 Test Your Knowledge: Answers; Chapter 31: Advanced Class Topics; 31.1 Extending Built-in Types; 31.2 The "New-Style" Class Model; 31.3 New-Style Class Changes; 31.


4 New-Style Class Extensions; 31.5 Static and Class Methods; 31.6 Decorators and Metaclasses: Part 1; 31.7 Class Gotchas; 31.8 Chapter Summary; 31.9 Test Your Knowledge: Quiz; 31.10 Test Your Knowledge: Answers; 31.11 Test Your Knowledge: Part VI Exercises;Exceptions and Tools; Chapter 32: Exception Basics; 32.


1 Why Use Exceptions?; 32.2 Exceptions:.


To be able to view the table of contents for this publication then please subscribe by clicking the button below...
To be able to view the full description for this publication then please subscribe by clicking the button below...