Viser: Learning Python
Learning Python Vital Source e-bog
Mark Lutz
(2013)
O'Reilly Media, Inc
541,00 kr.
Leveres umiddelbart efter køb
Learning Python Vital Source e-bog
Mark Lutz
(2013)
O'Reilly Media, Inc
541,00 kr.
Leveres umiddelbart efter køb
Learning Python
Mark Lutz
(2013)
Sprog: Engelsk
O'Reilly Media, Incorporated
685,00 kr.
1 stk på lager
Hvor kan jeg afhente varen?Detaljer om varen
- 5. Udgave
- Vital Source searchable e-book (Reflowable pages): 1600 sider
- Udgiver: O'Reilly Media, Inc (Juni 2013)
- ISBN: 9781449355692
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
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Detaljer om varen
- 5. Udgave
- Vital Source searchable e-book (Fixed pages): 1600 sider
- Udgiver: O'Reilly Media, Inc (Juni 2013)
- ISBN: 9781449355715
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
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 10 sider i alt kan kopieres (copy/paste)
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 10 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 5. Udgave
- Paperback: 1600 sider
- Udgiver: O'Reilly Media, Incorporated (Juli 2013)
- ISBN: 9781449355739
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
Dedication;Preface; This Book''s "Ecosystem"; About This Fifth Edition; The Python
2.X and
3.X Lines; This Book''s Prerequisites and Effort; This Book''s Structure; What This Book Is Not; This Book''s Programs; Font Conventions; Book Updates and Resources; 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 Developed and 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 Unix-Style Executable Scripts: #!;
3.4 Clicking File Icons;
3.5 Module Imports and Reloads;
3.6 Using exec to Run Module Files;
3.7 The IDLE User Interface;
3.8 Other IDEs;
3.9 Other Launch Options;
3.10 Which Option Should I Use?;
3.11
Chapter Summary;
3.12 Test Your Knowledge: Quiz;
3.13 Test Your Knowledge: Answers;
3.14 Test Your Knowledge:
Part I Exercises;Types and Operations;
Chapter 4: Introducing Python Object Types;
4.1 The Python Conceptual Hierarchy;
4.2 Why Use Built-in Types?;
4.3 Python''s Core Data Types;
4.4 Numbers;
4.5 Strings;
4.6 Lists;
4.7 Dictionaries;
4.8 Tuples;
4.9 Files;
4.10 Other Core Types;
4.11
Chapter Summary;
4.12 Test Your Knowledge: Quiz;
4.13 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: String Fundamentals;
7.1 This
Chapter''s Scope;
7.2 String Basics;
7.3 String Literals;
7.4 Strings in Action;
7.5 String Methods;
7.6 String Formatting Expressions;
7.7 String Formatting Method Calls;
7.8 General Type Categories;
7.9
Chapter Summary;
7.10 Test Your Knowledge: Quiz;
7.11 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 Core Types Review and Summary;
9.4 Built-in Type Gotchas;
9.5
Chapter Summary;
9.6 Test Your Knowledge: Quiz;
9.7 Test Your Knowledge: Answers;
9.8 Test Your Knowledge:
Part II Exercises;Statements and Syntax;
Chapter 10: Introducing Python Statements;
10.1 The Python Conceptual Hierarchy Revisited;
10.2 Python''s Statements;
10.3 A Tale of Two ifs;
10.4 A Quick Example: Interactive Loops;
10.5
Chapter Summary;
10.6 Test Your Knowledge: Quiz;
10.7 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 Revisited;
12.3 Truth Values and Boolean 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;
14.1 Iterations: A First Look;
14.2 List Comprehensions: A First Detailed Look;
14.3 Other Iteration Contexts;
14.4 New Iterables in Python
3.X;
14.5 Other Iteration 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 and Generators;
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 in
3.X;
17.5 Why nonlocal? State Retention Options;
17.6
Chapter Summary;
17.7 Test Your Knowledge: Quiz;
17.8 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.X 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 Functional Programming Tools;
19.6
Chapter Summary;
19.7 Test Your Knowledge: Quiz;
19.8 Test Your Knowledge: Answers;
Chapter 20: Comprehensions and Generations;
20.1 List Comprehensions and Functional Tools;
20.2 Generator Functions and Expressions;
20.3 Comprehension Syntax Summary;
20.4
Chapter Summary;
20.5 Test Your Knowledge: Quiz;
20.6 Test Your Knowledge: Answers;
Chapter 21: The Benchmarking Interlude;
21.1 Timing Iteration Alternatives;
21.2 Timing Iterations and Pythons with timeit;
21.3 Other Benchmarking Topics: pystones;
21.4 Function Gotchas;
21.5
Chapter Summary;
21.6 Test Your Knowledge: Quiz;
21.7 Test Your Knowledge: Answers;
21.8 Test Your Knowledge:
Part IV Exercises;Modules and Packages;
Chapter 22: Modules: The Big Picture;
22.1 Why Use Modules?;
22.2 Python Program Architecture;
22.3 How Imports Work;
22.4 Byte Code Files: __pycache__ in Python
3.2+;
22.5 The Module Search Path;
22.6
Chapter Summary;
22.7 Test Your Knowledge: Quiz;
22.8 Test Your Knowledge: Answers;
Chapter 23: Module Coding Basics;
23.1 Module Creation;
23.2 Module Usage;
23.3 Module Namespaces;
23.4 Reloading Modules;
23.5
Chapter Summary;
23.6 Test Your Knowledge: Quiz;
23.7 Test Your Knowledge: Answers;
Chapter 24: Module Packages;
24.1 Package Import Basics;
24.2 Package Import Example;
24.3 Why Use Package Imports?;
24.4 Package Relative Imports;
24.5 Python
3.3 Namespace Packages;
24.6
Chapter Summary;
24.7 Test Your Knowledge: Quiz;
24.8 Test Your Knowledge: Answers;
Chapter 25: Advanced Module Topics;
25.1 Module Design Concepts;
25.2 Data Hiding in Modules;
25.3 Enabling Future Language Features: __future__;
25.4 Mixed Usage Modes: __name__ and __main__;
25.5 Example: Dual Mode Code;
25.6 Changing the Module Search Path;
25.7 The as Extension for import and from;
25.8 Example: Modules Are Objects;
25.9 Importing Modules by Name String;
25.10 Example: Transitive Module Reloads;
25.11 Module Gotchas;
25.12
Chapter Summary;
25.13 Test Your Knowledge: Quiz;
25.14 Test Your Knowledge: Answers;
25.15 Test Your Knowledge:
Part V Exercises;Classes and OOP;
Chapter 26: OOP: The Big Picture;
26.1 Why Use Classes?;
26.2 OOP from 30,000 Feet;
26.3
Chapter Summary;
26.4 Test Your Knowledge: Quiz;
26.5 Test Your Knowledge: Answers;
Chapter 27: Class Coding Basics;
27.1 Classes Generate Multiple Instance Objects;
27.2 Classes Are Customized by Inheritance;
27.3 Classes Can Intercept Python Operators;
27.4 The World''s Simplest Python Class;
27.5
Chapter Summary;
27.6 Test Your Knowledge: Quiz;
27.7 Test Your Knowledge: Answers;
Chapter 28: A More Realistic Example;
28.1 Step
1: Making Instances;
28.2 Step
2: Adding Behavior Methods;
28.3 Step
3: Operator Overloading;
28.4 Step
4: Customizing Behavior by Subclassing;
28.5 Step
5: Customizing Constructors, Too;
28.6 Step
6: Using Introspection Tools;
28.7 Step 7 (Final): Storing Objects in a Database;
28.8 Future Directions;
28.9
Chapter Summary;
28.10 Test Your Knowledge: Quiz;
28.11 Test Your Knowledge: Answers;
Chapter 29: Class Coding Details;
29.1 The class Statement;
29.2 Methods;
29.3 Inheritance;
29.4 Namespaces: The Conclusion;
29.5 Documentation Strings Revisited;
29.6 Classes Versus Modules;
29.7
Chapter Summary;
29.8 Test Your Knowledge: Quiz;
29.9 Test Your Knowledge: Answers;
Chapter 30: Operator Overloading;
30.1 The Basics;
30.2 Indexing and Slicing: __getitem__ and __setitem__;
30.3 Index Iteration: __getitem__;
30.4 Iterable Objects: __iter__ and __next__;
30.5 Membership: __contains__, __iter__, and __getitem__;
30.6 Attribute Access: __getattr__ and __setattr__;
30.7 String Representation: __repr__ and __str__;
30.8 Right-Side and In-Place Uses: __radd__ and __iadd__;
30.9 Call Expressions: __call__;
30.10 Comparisons: __lt__, __gt__, and Others;
30.11 Boolean Tests: __bool__ and __len__;
30.12 Object Destruction: __del__;
30.13
Chapter Summary;
30.14 Test Your Knowledge: Quiz;
30.15 Test Your Knowledge: Answers;
Chapter 31: Designing with Classes;
31.1 Python and OOP;
31.2 OOP and Inheritance: "Is-a" Relationships;
31.3 OOP and Composition: "Has-a" Relationships;
31.4 OOP and Delegation: "Wrapper" Proxy Objects;
31.5 Pseudoprivate Class Attributes;
31.6 Methods Are Objects: Bound or Unbound;
31.7 Classes Are Objects: Generic Object Factories;
31.8 Multiple Inheritance: "Mix-in" Classes;
31.9 Other Design-Related Topics;
31.10
Chapter Summary;
31.11 Test Your Knowledge: Quiz;
31.12 Test Your Knowledge: Answers;
2.X and
3.X Lines; This Book''s Prerequisites and Effort; This Book''s Structure; What This Book Is Not; This Book''s Programs; Font Conventions; Book Updates and Resources; 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 Developed and 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 Unix-Style Executable Scripts: #!;
3.4 Clicking File Icons;
3.5 Module Imports and Reloads;
3.6 Using exec to Run Module Files;
3.7 The IDLE User Interface;
3.8 Other IDEs;
3.9 Other Launch Options;
3.10 Which Option Should I Use?;
3.11
Chapter Summary;
3.12 Test Your Knowledge: Quiz;
3.13 Test Your Knowledge: Answers;
3.14 Test Your Knowledge:
Part I Exercises;Types and Operations;
Chapter 4: Introducing Python Object Types;
4.1 The Python Conceptual Hierarchy;
4.2 Why Use Built-in Types?;
4.3 Python''s Core Data Types;
4.4 Numbers;
4.5 Strings;
4.6 Lists;
4.7 Dictionaries;
4.8 Tuples;
4.9 Files;
4.10 Other Core Types;
4.11
Chapter Summary;
4.12 Test Your Knowledge: Quiz;
4.13 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: String Fundamentals;
7.1 This
Chapter''s Scope;
7.2 String Basics;
7.3 String Literals;
7.4 Strings in Action;
7.5 String Methods;
7.6 String Formatting Expressions;
7.7 String Formatting Method Calls;
7.8 General Type Categories;
7.9
Chapter Summary;
7.10 Test Your Knowledge: Quiz;
7.11 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 Core Types Review and Summary;
9.4 Built-in Type Gotchas;
9.5
Chapter Summary;
9.6 Test Your Knowledge: Quiz;
9.7 Test Your Knowledge: Answers;
9.8 Test Your Knowledge:
Part II Exercises;Statements and Syntax;
Chapter 10: Introducing Python Statements;
10.1 The Python Conceptual Hierarchy Revisited;
10.2 Python''s Statements;
10.3 A Tale of Two ifs;
10.4 A Quick Example: Interactive Loops;
10.5
Chapter Summary;
10.6 Test Your Knowledge: Quiz;
10.7 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 Revisited;
12.3 Truth Values and Boolean 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;
14.1 Iterations: A First Look;
14.2 List Comprehensions: A First Detailed Look;
14.3 Other Iteration Contexts;
14.4 New Iterables in Python
3.X;
14.5 Other Iteration 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 and Generators;
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 in
3.X;
17.5 Why nonlocal? State Retention Options;
17.6
Chapter Summary;
17.7 Test Your Knowledge: Quiz;
17.8 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.X 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 Functional Programming Tools;
19.6
Chapter Summary;
19.7 Test Your Knowledge: Quiz;
19.8 Test Your Knowledge: Answers;
Chapter 20: Comprehensions and Generations;
20.1 List Comprehensions and Functional Tools;
20.2 Generator Functions and Expressions;
20.3 Comprehension Syntax Summary;
20.4
Chapter Summary;
20.5 Test Your Knowledge: Quiz;
20.6 Test Your Knowledge: Answers;
Chapter 21: The Benchmarking Interlude;
21.1 Timing Iteration Alternatives;
21.2 Timing Iterations and Pythons with timeit;
21.3 Other Benchmarking Topics: pystones;
21.4 Function Gotchas;
21.5
Chapter Summary;
21.6 Test Your Knowledge: Quiz;
21.7 Test Your Knowledge: Answers;
21.8 Test Your Knowledge:
Part IV Exercises;Modules and Packages;
Chapter 22: Modules: The Big Picture;
22.1 Why Use Modules?;
22.2 Python Program Architecture;
22.3 How Imports Work;
22.4 Byte Code Files: __pycache__ in Python
3.2+;
22.5 The Module Search Path;
22.6
Chapter Summary;
22.7 Test Your Knowledge: Quiz;
22.8 Test Your Knowledge: Answers;
Chapter 23: Module Coding Basics;
23.1 Module Creation;
23.2 Module Usage;
23.3 Module Namespaces;
23.4 Reloading Modules;
23.5
Chapter Summary;
23.6 Test Your Knowledge: Quiz;
23.7 Test Your Knowledge: Answers;
Chapter 24: Module Packages;
24.1 Package Import Basics;
24.2 Package Import Example;
24.3 Why Use Package Imports?;
24.4 Package Relative Imports;
24.5 Python
3.3 Namespace Packages;
24.6
Chapter Summary;
24.7 Test Your Knowledge: Quiz;
24.8 Test Your Knowledge: Answers;
Chapter 25: Advanced Module Topics;
25.1 Module Design Concepts;
25.2 Data Hiding in Modules;
25.3 Enabling Future Language Features: __future__;
25.4 Mixed Usage Modes: __name__ and __main__;
25.5 Example: Dual Mode Code;
25.6 Changing the Module Search Path;
25.7 The as Extension for import and from;
25.8 Example: Modules Are Objects;
25.9 Importing Modules by Name String;
25.10 Example: Transitive Module Reloads;
25.11 Module Gotchas;
25.12
Chapter Summary;
25.13 Test Your Knowledge: Quiz;
25.14 Test Your Knowledge: Answers;
25.15 Test Your Knowledge:
Part V Exercises;Classes and OOP;
Chapter 26: OOP: The Big Picture;
26.1 Why Use Classes?;
26.2 OOP from 30,000 Feet;
26.3
Chapter Summary;
26.4 Test Your Knowledge: Quiz;
26.5 Test Your Knowledge: Answers;
Chapter 27: Class Coding Basics;
27.1 Classes Generate Multiple Instance Objects;
27.2 Classes Are Customized by Inheritance;
27.3 Classes Can Intercept Python Operators;
27.4 The World''s Simplest Python Class;
27.5
Chapter Summary;
27.6 Test Your Knowledge: Quiz;
27.7 Test Your Knowledge: Answers;
Chapter 28: A More Realistic Example;
28.1 Step
1: Making Instances;
28.2 Step
2: Adding Behavior Methods;
28.3 Step
3: Operator Overloading;
28.4 Step
4: Customizing Behavior by Subclassing;
28.5 Step
5: Customizing Constructors, Too;
28.6 Step
6: Using Introspection Tools;
28.7 Step 7 (Final): Storing Objects in a Database;
28.8 Future Directions;
28.9
Chapter Summary;
28.10 Test Your Knowledge: Quiz;
28.11 Test Your Knowledge: Answers;
Chapter 29: Class Coding Details;
29.1 The class Statement;
29.2 Methods;
29.3 Inheritance;
29.4 Namespaces: The Conclusion;
29.5 Documentation Strings Revisited;
29.6 Classes Versus Modules;
29.7
Chapter Summary;
29.8 Test Your Knowledge: Quiz;
29.9 Test Your Knowledge: Answers;
Chapter 30: Operator Overloading;
30.1 The Basics;
30.2 Indexing and Slicing: __getitem__ and __setitem__;
30.3 Index Iteration: __getitem__;
30.4 Iterable Objects: __iter__ and __next__;
30.5 Membership: __contains__, __iter__, and __getitem__;
30.6 Attribute Access: __getattr__ and __setattr__;
30.7 String Representation: __repr__ and __str__;
30.8 Right-Side and In-Place Uses: __radd__ and __iadd__;
30.9 Call Expressions: __call__;
30.10 Comparisons: __lt__, __gt__, and Others;
30.11 Boolean Tests: __bool__ and __len__;
30.12 Object Destruction: __del__;
30.13
Chapter Summary;
30.14 Test Your Knowledge: Quiz;
30.15 Test Your Knowledge: Answers;
Chapter 31: Designing with Classes;
31.1 Python and OOP;
31.2 OOP and Inheritance: "Is-a" Relationships;
31.3 OOP and Composition: "Has-a" Relationships;
31.4 OOP and Delegation: "Wrapper" Proxy Objects;
31.5 Pseudoprivate Class Attributes;
31.6 Methods Are Objects: Bound or Unbound;
31.7 Classes Are Objects: Generic Object Factories;
31.8 Multiple Inheritance: "Mix-in" Classes;
31.9 Other Design-Related Topics;
31.10
Chapter Summary;
31.11 Test Your Knowledge: Quiz;
31.12 Test Your Knowledge: Answers;
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