Résumé
The real-world guide to enterprise-class Python
development!
2. Statements.
3. Modules and Packages.
4. Objects and Classes.
5. Object-Oriented Patterns.
6. Functions.
7. Input/Output.
8.Sequences.
9. Strings.
10. Dictionaries.
11. Exceptions.
12. Types.
13. Programs and Run-Time Compilation.
14. Abstract Data Types and Special Methods.
15. Abstract Container Data Types.
16. Priority Queues.
17. Sets.
18. Concurrency.
19. Transactions.
20. Run Queues.
21. Regular Expressions.
22. Parser.
23. Wrap-Up.
Appendix A.
Index.
- Enterprise development with Python!
- 20+ object-oriented patterns for large-scale Python development
- Maximizing scalability, robustness, and reuse
- Leveraging modularization, toolkits, frameworks, metaprogramming, and more
Python isn't just a tool for creating short Web scripts and simple prototypes: its advantages are equally compelling in large-scale development. In Python Programming Patterns, Thomas Christopher shows developers the best ways to write large programs with Python, introducing powerful design patterns that deliver unprecedented levels of robustness, scalability, and reuse. Christopher teaches both the Python programming language and how to "program in the large" with Python, using objects, modularization, toolkits, frameworks, and other powerful tools and techniques.
- 20+ proven object-oriented patterns for large-scale Python development: creational, structural, and behavioral
- Leverage the skills you've mastered in other object-oriented languages
- Design Python systems for maximum reuse
- Create cleaner, more comprehensible software systems
- Make the most of persistence, concurrent programming, functional programming, and metaprogramming
- Includes extensive working code and meaningful examples
If you've ever thought it would be great to use Python in real enterprise development, you're about to learn how—with Python Programming Patterns!
Contents
Introduction.
Acknowledgments.
1. Getting Started.
Why Write Larger Programs
in Python? Running Python. Numbers. Lists, Strings, and
Tuples. Logical Values. Dictionaries. Assignments. Garbage
Collection. Operators. Wrap-Up.
2. Statements.
Python Statements.
Example: Word Count. Wrap-Up. Exercises.
3. Modules and Packages.
Importing Modules.
Importing Names from Modules. Avoiding Namespace Pollution.
Reloading Modules. Search Paths. Packages. Example Stack
Module. Critique of Modules. Wrap-Up. Exercises.
4. Objects and Classes.
Instances and Classes.
Class Declarations. Instances. Methods. Single Inheritance.
Visibility. Explicit Initializer Chaining. Example: Set
Implementation. Critique. Example: BaseTimer. Inheritance
As Classification. Multiple Inheritance. Recapitulation of
the Scope of Names. Testing Objects and Classes. Wrap-Up.
Exercises.
5. Object-Oriented Patterns.
Concept of Design
Patterns. Creational Patterns. Structural Patterns.
Behavioral Patterns. Wrap-Up. Exercises.
6. Functions.
Parameter and Argument
Lists. Three-Level Scopes. Functional Programming. Function
Objects. Built-In Functions. Wrap-Up. Exercises.
7. Input/Output.
File Objects. Execution
Environment. Other Useful Modules. Wrap-Up.
Exercises.
8.Sequences.
Common Sequence
Operations. Tuples. Lists. Wrap-Up. Exercises.
9. Strings.
String Literals. Strings
as Sequences. String Methods. Example: Splitter. String
Formatting: The % Operator. Wrap-Up. Exercises.
10. Dictionaries.
Dictionary Operations.
Example: Union-Find Algorithm. Persistence and Databases.
Wrap-Up. Exercises.
11. Exceptions.
Exception Classes. Minimal
Exception Handling. Examining the Exception. Raising
Exceptions. Tracebacks. Re-Raising Exceptions. Raise with
Strings. Try-Except-Else. The Try-Finally Statement.
Wrap-Up. Exercises.
12. Types.
Type Objects. Members and
Methods. Numbers, Strings, Tuples, Lists, and Dictionaries.
Modules. User-Defined Functions. Code Objects. Classes.
Class Instances. User-Defined Methods. Built-In Functions
and Methods. Slice. Xrange. File. Frame. Traceback.
Example: Scopes. Wrap-Up. Exercises.
13. Programs and Run-Time Compilation.
Python Interpreter
Startup. Run-Time Compilation. Wrap-Up. Exercises.
14. Abstract Data Types and Special Methods.
Special Methods. Methods
for All Objects. Operators. Arithmetic Operators. Augmented
Assignment. Rich Comparisons. Attribute Access. Function
Call Method. Wrap-Up. Exercises.
15. Abstract Container Data Types.
Special Methods for
Container ADTs. DEQueue. Multidimensional Arrays. Class
Versions of Built-In Data Types. Wrap-Up. Exercises.
16. Priority Queues.
Priority Queue Operations.
Priority Queue Implementation. Unique Elements. Critique.
Wrap-Up. Exercises.
17. Sets.
Set Operations.
Implementation. PureSet: A Protection Proxy.
SetEnumeration. Wrap-Up. Exercises.
18. Concurrency.
Threads. Race Conditions.
Locks and Mutual Exclusion. Monitor Pattern.
Producer-Consumer. Deadlock. Example: Future. Wrap-Up.
Exercises.
19. Transactions.
Shared Database
Operations. Example: Dining Philosophers. Implementation of
SharedDB. Wrap-Up. Exercises.
20. Run Queues.
Simple RunQueue.
Implementing RunQueue. Detecting Termination of an Object
on the RunQueue. TransactionQueue. Example of
TransactionQueue: Dining Philosophers. Wrap-Up.
Exercises.
21. Regular Expressions.
Overall Behavior of re
Module. re Syntax. Functions in re Module. Pattern Objects.
Match Objects. Other Modes. Other Methods and Functions.
Example: Scanner. Wrap-Up. Exercises.
22. Parser.
Overview of the Process.
Implementing a Calculator. Building a Tree. Wrap-Up.
Exercises.
23. Wrap-Up.
Contents. Software. Advice
to the Reader.
Appendix A.
Index.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Prentice Hall |
| Auteur(s) | Thomas W. Christopher |
| Parution | 04/02/2002 |
| Nb. de pages | 538 |
| Format | 17,8 x 23,4 |
| Couverture | Broché |
| Poids | 955g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780130409560 |
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