Python Cookbook
2nd Edition
Published on 26. April 2005
Book
844 pages
978-0-596-00797-3 (ISBN)
Description
Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. It is now being used by an increasing number of major organizations, including NASA and Google.
Updated for Python 2.4, The Python Cookbook, 2nd Edition offers a wealth of useful code for all Python programmers, not just advanced practitioners. Like its predecessor, the new edition provides solutions to problems that Python programmers face everyday.
It now includes over 200 recipes that range from simple tasks, such as working with dictionaries and list comprehensions, to complex tasks, such as monitoring a network and building a templating system. This revised version also includes new chapters on topics such as time, money, and metaprogramming.
Here's a list of additional topics covered:
* Manipulating text
* Searching and sorting
* Working with files and the filesystem
* Object-oriented programming
* Dealing with threads and processes
* System administration
* Interacting with databases
* Creating user interfaces
* Network and web programming
* Processing XML
* Distributed programming
* Debugging and testing
Another advantage of The Python Cookbook, 2nd Edition is its trio of authors--three well-known Python programming experts, who are highly visible on email lists and in newsgroups, and speak often at Python conferences.
With scores of practical examples and pertinent background information, The Python Cookbook, 2nd Edition is the one source you need if you're looking to build efficient, flexible, scalable, and well-integrated systems.
Updated for Python 2.4, The Python Cookbook, 2nd Edition offers a wealth of useful code for all Python programmers, not just advanced practitioners. Like its predecessor, the new edition provides solutions to problems that Python programmers face everyday.
It now includes over 200 recipes that range from simple tasks, such as working with dictionaries and list comprehensions, to complex tasks, such as monitoring a network and building a templating system. This revised version also includes new chapters on topics such as time, money, and metaprogramming.
Here's a list of additional topics covered:
* Manipulating text
* Searching and sorting
* Working with files and the filesystem
* Object-oriented programming
* Dealing with threads and processes
* System administration
* Interacting with databases
* Creating user interfaces
* Network and web programming
* Processing XML
* Distributed programming
* Debugging and testing
Another advantage of The Python Cookbook, 2nd Edition is its trio of authors--three well-known Python programming experts, who are highly visible on email lists and in newsgroups, and speak often at Python conferences.
With scores of practical examples and pertinent background information, The Python Cookbook, 2nd Edition is the one source you need if you're looking to build efficient, flexible, scalable, and well-integrated systems.
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Edition type
Revised edition
Product notice
Paperback (trade)
Illustrations
1, black & white illustrations
Dimensions
Height: 233 mm
Width: 178 mm
Thickness: 42 mm
Weight
1322 gr
ISBN-13
978-0-596-00797-3 (9780596007973)
Schweitzer Classification
Other editions
New editions
Book
06/2013
3rd Edition
O'Reilly
€65.00
Available immediately
Brian K. Jones | David M. Beazley
Python Cookbook
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3rd Edition
O'Reilly
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Previous edition
David Asher | Alex Martelli
Phyton Cookbook
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Persons
Alex Martelli spent 8 years with IBM Research, winning three Outstanding Technical Achievement Awards. He then spent 13 as a Senior Software Consultant at think3 inc, developing libraries, network protocols, GUI engines, event frameworks, and web access frontends. He has also taught programming languages, development methods, and numerical computing at Ferrara University and other venues. He's a C++ MVP for Brainbench, and a member of the Python Software Foundation. He currently works for AB Strakt, a Python-centered software house in G?teborg, Sweden, mostly by telecommuting from his home in Bologna, Italy. Alex's proudest achievement is the articles that appeared in Bridge World (January/February 2000), which were hailed as giant steps towards solving issues that had haunted contract bridge theoreticians for decades. Anna Ravenscroft has a background in training and mentoring, particularly in office technologies. She brings a fresh perspective to Python with a focus on practical, real-world problem solving. David Ascher is the lead for Python projects at ActiveState, including Komodo, ActiveState's integrated development environment written mostly in Python. David has taught courses about Python to corporations, in universities, and at conferences. He also organized the Python track at the 1999 and 2000 O'Reilly Open Source Conventions, and was the program chair for the 10th International Python Conference. In addition, he co-wrote Learning Python (both editions) and serves as a director of the Python Software Foundation. David holds a B.S. in physics and a Ph.D. in cognitive science, both from Brown University.
Content
Inhaltsverzeichnis
Foreword
Preface
Part I. The Beginning
1. Introducing Python
"And Now for Something Completely Different"
Python Philosophy 101
The Life of Python
Signs of the Python Times
The Compulsory Features List
What's Python Good For?
What's Python Not Good For?
Truth in Advertising
2. A Sneak Preview
"Programming Python: The Short Story"
The Task
Step 1: Representing Records
Step 2: Storing Records Persistently
Step 3: Stepping Up to OOP
Step 4: Adding Console Interaction
Step 5: Adding a GUI
Step 6: Adding a Web Interface
The End of the Demo
Part II. System Programming
3. System Tools
"The os.path to Knowledge"
System Scripting Overview
Introducing the sys Module
Introducing the os Module
Script Execution Context
Current Working Directory
Command-Line Arguments
Shell Environment Variables
Standard Streams
4. File and Directory Tools
"Erase Your Hard Drive in Five Easy Steps!"
File Tools
Directory Tools
5. Parallel System Tools
"Telling the Monkeys What to Do"
Forking Processes
Threads
Program Exits
Interprocess Communication
Pipes
Signals
Other Ways to Start Programs
A Portable Program-Launch Framework
Other System Tools
6. System Examples: Utilities
"Splits and Joins and Alien Invasions"
Splitting and Joining Files
Generating Forward-Link Web Pages
A Regression Test Script
Packing and Unpacking Files
Automated Program Launchers
7. System Examples: Directories
"The Greps of Wrath"
Fixing DOS Line Ends
Fixing DOS Filenames
Searching Directory Trees
Visitor: Walking Trees Generically
Copying Directory Trees
Deleting Directory Trees
Comparing Directory Trees
Part III. GUI Programming
8. Graphical User Interfaces
"Here's Looking at You, Kid"
Python GUI Development Options
Tkinter Overview
Climbing the GUI Learning Curve
Tkinter Coding Basics
Tkinter Coding Alternatives
Adding Buttons and Callbacks
Adding User-Defined Callback Handlers
Adding Multiple Widgets
Customizing Widgets with Classes
Reusable GUI Components with Classes
The End of the Tutorial
Python/Tkinter for Tcl/Tk Converts
9. A Tkinter Tour, Part 1
"Widgets and Gadgets and GUIs, Oh My!"
Configuring Widget Appearance
Top-Level Windows
Dialogs
Binding Events
Message and Entry
Checkbutton, Radiobutton, and Scale
Running GUI Code Three Ways
Images
Viewing and Processing Images with PIL
10. A Tkinter Tour, Part 2
"On Today's Menu: Spam, Spam, and Spam"
Menus
Listboxes and Scrollbars
Text
Canvas
Grids
Time Tools, Threads, and Animation
The End of the Tour
The PyDemos and PyGadgets Launchers
11. GUI Coding Techniques
"Building a Better Mouse Trap"
GuiMixin: Common Tool Mixin Classes
GuiMaker: Automating Menus and Toolbars
ShellGui: GUIs for Command-Line Tools
GuiStreams: Redirecting Streams to Widgets
Reloading Callback Handlers Dynamically
Wrapping Up Top-Level Window Interfaces
GUIs, Threads, and Queues
More Ways to Add GUIs to Non-GUI Code
12. Complete GUI Programs
"Python, Open Source, and Camaros"
PyEdit: A Text Editor Program/Object
PyPhoto: An Image Viewer and Resizer
PyView: An Image and Notes Slideshow
PyDraw: Painting and Moving Graphics
PyClock: An Analog/Digital Clock Widget
PyToe: A Tic-Tac-Toe Game Widget
Where to Go from Here
Part IV. Internet Programming
13. Network Scripting
"Tune In, Log On, and Drop Out"
Plumbing the Internet
Socket Programming
Handling Multiple Clients
A Simple Python File Server
14. Client-Side Scripting
"Socket to Me!"
FTP: Transferring Files over the Net
Processing Internet Email
POP: Fetching Email
SMTP: Sending Email
email: Parsing and Composing Mails
pymail: A Console-Based Email Client
The mailtools Utility Package
NNTP: Accessing Newsgroups
HTTP: Accessing Web Sites
Module urllib Revisited
Other Client-Side Scripting Options
15. The PyMailGUI Client
"Use the Source, Luke"
A PyMailGUI Demo
PyMailGUI Implementation
16. Server-Side Scripting
"Oh What a Tangled Web We Weave"
What's a Server-Side CGI Script?
Running Server-Side Examples
Climbing the CGI Learning Curve
Saving State Information in CGI Scripts
The Hello World Selector
Refactoring Code for Maintainability
More on HTML and URL Escapes
Transferring Files to Clients and Servers
17. The PyMailCGI Server
"Things to Do When Visiting Chicago"
The PyMailCGI Web Site
The Root Page
Sending Mail by SMTP
Reading POP Email
Processing Fetched Mail
Utility Modules
CGI Script Trade-Offs
18. Advanced Internet Topics
"Surfing on the Shoulders of Giants"
Zope: A Web Application Framework
HTMLgen: Web Pages from Objects
Jython: Python for Java
Grail: A Python-Based Web Browser
XML Processing Tools
Windows Web Scripting Extensions
Python Server Pages
Rolling Your Own Servers in Python
And Other Cool Stuff
Part V. Tools and Techniques
19. Databases and Persistence
"Give Me an Order of Persistence, but Hold the Pickles"
Persistence Options in Python
DBM Files
Pickled Objects
Shelve Files
The ZODB Object-Oriented Database
SQL Database Interfaces
PyForm: A Persistent Object Viewer
20. Data Structures
"Roses Are Red, Violets Are Blue; Lists Are Mutable, and So Is Set Foo"
Implementing Stacks
Implementing Sets
Subclassing Built-In Types
Binary Search Trees
Graph Searching
Reversing Sequences
Permuting Sequences
Sorting Sequences
Data Structures Versus Python Built-Ins
PyTree: A Generic Tree Object Viewer
21. Text and Language
"See Jack Hack. Hack, Jack, Hack"
Strategies for Parsing Text in Python
String Method Utilities
Regular Expression Pattern Matching
Advanced Language Tools
Handcoded Parsers
PyCalc: A Calculator Program/Object
Part VI. Integration
22. Extending Python
"I Am Lost at C"
Integration Modes
C Extensions Overview
A Simple C Extension Module
Extension Module Details
The SWIG Integration Code Generator
Wrapping C Environment Calls
A C Extension Module String Stack
A C Extension Type String Stack
Wrapping C++ Classes with SWIG
Other Extending Tools
23. Embedding Python
"Add Python. Mix Well. Repeat."
C Embedding API Overview
Basic Embedding Techniques
Registering Callback Handler Objects
Using Python Classes in C
A High-Level Embedding API: ppembed
Other Integration Topics
Part VII. The End
24. Conclusion: Python and the Development Cycle
"That's the End of the Book, Now Here's the Meaning of Life"
"Something's Wrong with the Way We Program Computers"
The "Gilligan Factor"
Doing the Right Thing
Enter Python
But What About That Bottleneck?
On Sinking the Titanic
So What's "Python: The Sequel"?
In the Final Analysis.
Postscript to the Second Edition (2000)
Postscript to the Third Edition (2006)
Index
Foreword
Preface
Part I. The Beginning
1. Introducing Python
"And Now for Something Completely Different"
Python Philosophy 101
The Life of Python
Signs of the Python Times
The Compulsory Features List
What's Python Good For?
What's Python Not Good For?
Truth in Advertising
2. A Sneak Preview
"Programming Python: The Short Story"
The Task
Step 1: Representing Records
Step 2: Storing Records Persistently
Step 3: Stepping Up to OOP
Step 4: Adding Console Interaction
Step 5: Adding a GUI
Step 6: Adding a Web Interface
The End of the Demo
Part II. System Programming
3. System Tools
"The os.path to Knowledge"
System Scripting Overview
Introducing the sys Module
Introducing the os Module
Script Execution Context
Current Working Directory
Command-Line Arguments
Shell Environment Variables
Standard Streams
4. File and Directory Tools
"Erase Your Hard Drive in Five Easy Steps!"
File Tools
Directory Tools
5. Parallel System Tools
"Telling the Monkeys What to Do"
Forking Processes
Threads
Program Exits
Interprocess Communication
Pipes
Signals
Other Ways to Start Programs
A Portable Program-Launch Framework
Other System Tools
6. System Examples: Utilities
"Splits and Joins and Alien Invasions"
Splitting and Joining Files
Generating Forward-Link Web Pages
A Regression Test Script
Packing and Unpacking Files
Automated Program Launchers
7. System Examples: Directories
"The Greps of Wrath"
Fixing DOS Line Ends
Fixing DOS Filenames
Searching Directory Trees
Visitor: Walking Trees Generically
Copying Directory Trees
Deleting Directory Trees
Comparing Directory Trees
Part III. GUI Programming
8. Graphical User Interfaces
"Here's Looking at You, Kid"
Python GUI Development Options
Tkinter Overview
Climbing the GUI Learning Curve
Tkinter Coding Basics
Tkinter Coding Alternatives
Adding Buttons and Callbacks
Adding User-Defined Callback Handlers
Adding Multiple Widgets
Customizing Widgets with Classes
Reusable GUI Components with Classes
The End of the Tutorial
Python/Tkinter for Tcl/Tk Converts
9. A Tkinter Tour, Part 1
"Widgets and Gadgets and GUIs, Oh My!"
Configuring Widget Appearance
Top-Level Windows
Dialogs
Binding Events
Message and Entry
Checkbutton, Radiobutton, and Scale
Running GUI Code Three Ways
Images
Viewing and Processing Images with PIL
10. A Tkinter Tour, Part 2
"On Today's Menu: Spam, Spam, and Spam"
Menus
Listboxes and Scrollbars
Text
Canvas
Grids
Time Tools, Threads, and Animation
The End of the Tour
The PyDemos and PyGadgets Launchers
11. GUI Coding Techniques
"Building a Better Mouse Trap"
GuiMixin: Common Tool Mixin Classes
GuiMaker: Automating Menus and Toolbars
ShellGui: GUIs for Command-Line Tools
GuiStreams: Redirecting Streams to Widgets
Reloading Callback Handlers Dynamically
Wrapping Up Top-Level Window Interfaces
GUIs, Threads, and Queues
More Ways to Add GUIs to Non-GUI Code
12. Complete GUI Programs
"Python, Open Source, and Camaros"
PyEdit: A Text Editor Program/Object
PyPhoto: An Image Viewer and Resizer
PyView: An Image and Notes Slideshow
PyDraw: Painting and Moving Graphics
PyClock: An Analog/Digital Clock Widget
PyToe: A Tic-Tac-Toe Game Widget
Where to Go from Here
Part IV. Internet Programming
13. Network Scripting
"Tune In, Log On, and Drop Out"
Plumbing the Internet
Socket Programming
Handling Multiple Clients
A Simple Python File Server
14. Client-Side Scripting
"Socket to Me!"
FTP: Transferring Files over the Net
Processing Internet Email
POP: Fetching Email
SMTP: Sending Email
email: Parsing and Composing Mails
pymail: A Console-Based Email Client
The mailtools Utility Package
NNTP: Accessing Newsgroups
HTTP: Accessing Web Sites
Module urllib Revisited
Other Client-Side Scripting Options
15. The PyMailGUI Client
"Use the Source, Luke"
A PyMailGUI Demo
PyMailGUI Implementation
16. Server-Side Scripting
"Oh What a Tangled Web We Weave"
What's a Server-Side CGI Script?
Running Server-Side Examples
Climbing the CGI Learning Curve
Saving State Information in CGI Scripts
The Hello World Selector
Refactoring Code for Maintainability
More on HTML and URL Escapes
Transferring Files to Clients and Servers
17. The PyMailCGI Server
"Things to Do When Visiting Chicago"
The PyMailCGI Web Site
The Root Page
Sending Mail by SMTP
Reading POP Email
Processing Fetched Mail
Utility Modules
CGI Script Trade-Offs
18. Advanced Internet Topics
"Surfing on the Shoulders of Giants"
Zope: A Web Application Framework
HTMLgen: Web Pages from Objects
Jython: Python for Java
Grail: A Python-Based Web Browser
XML Processing Tools
Windows Web Scripting Extensions
Python Server Pages
Rolling Your Own Servers in Python
And Other Cool Stuff
Part V. Tools and Techniques
19. Databases and Persistence
"Give Me an Order of Persistence, but Hold the Pickles"
Persistence Options in Python
DBM Files
Pickled Objects
Shelve Files
The ZODB Object-Oriented Database
SQL Database Interfaces
PyForm: A Persistent Object Viewer
20. Data Structures
"Roses Are Red, Violets Are Blue; Lists Are Mutable, and So Is Set Foo"
Implementing Stacks
Implementing Sets
Subclassing Built-In Types
Binary Search Trees
Graph Searching
Reversing Sequences
Permuting Sequences
Sorting Sequences
Data Structures Versus Python Built-Ins
PyTree: A Generic Tree Object Viewer
21. Text and Language
"See Jack Hack. Hack, Jack, Hack"
Strategies for Parsing Text in Python
String Method Utilities
Regular Expression Pattern Matching
Advanced Language Tools
Handcoded Parsers
PyCalc: A Calculator Program/Object
Part VI. Integration
22. Extending Python
"I Am Lost at C"
Integration Modes
C Extensions Overview
A Simple C Extension Module
Extension Module Details
The SWIG Integration Code Generator
Wrapping C Environment Calls
A C Extension Module String Stack
A C Extension Type String Stack
Wrapping C++ Classes with SWIG
Other Extending Tools
23. Embedding Python
"Add Python. Mix Well. Repeat."
C Embedding API Overview
Basic Embedding Techniques
Registering Callback Handler Objects
Using Python Classes in C
A High-Level Embedding API: ppembed
Other Integration Topics
Part VII. The End
24. Conclusion: Python and the Development Cycle
"That's the End of the Book, Now Here's the Meaning of Life"
"Something's Wrong with the Way We Program Computers"
The "Gilligan Factor"
Doing the Right Thing
Enter Python
But What About That Bottleneck?
On Sinking the Titanic
So What's "Python: The Sequel"?
In the Final Analysis.
Postscript to the Second Edition (2000)
Postscript to the Third Edition (2006)
Index