Python Cookbook
Recipes from the Python Community. Covers Python 2.3 & 2.4
(Sprache: Englisch)
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...
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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.
Klappentext zu „Python Cookbook “
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" 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" is its trio of authors - three well-known Python programming experts, who are highly visible on email lists and innewsgroups, and speak often at Python conferences. With scores of practical examples and pertinent background information, "The Python Cookbook" is the one source you need if you're looking to build efficient, flexible, scalable, and well-integrated systems.
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.
Inhaltsverzeichnis zu „Python Cookbook “
ForewordPreface
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
... mehr
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
- 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
... weniger
Autoren-Porträt
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.
Bibliographische Angaben
- 2005, 2nd ed., rev. and upd., 844 Seiten, Maße: 17,9 x 23,5 cm, Kartoniert (TB), Englisch
- Ed. by Alex Martelli and David Ascher
- Herausgegeben: Alex Martelli, Anna Martelli Ravenscroft, David Ascher
- Verlag: O'Reilly Associates
- ISBN-10: 0596007973
- ISBN-13: 9780596007973
Sprache:
Englisch
Rezension zu „Python Cookbook “
"Ein gutes Buch für¿ ¿Programmierer und Programmiererinnen,¿ ¿um Einblicke¿ ¿in die Arbeit mit Python¿ ¿zu bekommen und um einen schnellen Einstieg¿ ¿in¿ ¿neue Bereiche zu erhalten. Für mich als Python-Neuling war es sehr interessant zu lesen,¿ ¿weil¿ ¿gut nachzuvollziehen ist,¿ ¿wie Python-Hacker denken und Problemstellungen¿ ¿angehen. Wer ein gutes Python-Buch sucht und des¿ ¿Englischen mächtig ist,¿ ¿sollte zugreifen¿ ¿¿ auch wenn¿ ¿er/sie¿ ¿erst beginnt,¿ ¿Python zu verfallen." - ak-47.at, Dezember 2006Lesen Sie die ausführliche Rezension unter: http://ak-47.at/documents/python-cookbook/"Durch die ausgiebigen Erläuterungen (Discussions) zu den verschiedenen Lösungsansätzen, erkennt der Leser wo Gefahren lauern, welche typischen Fehler man machen kann und wie es gelingt das Potenzial von Python zu nutzen, um die Aufgabe effektiv zu lösen. Sehr positiv ist dabei die Durchleuchtung nicht nur einer Variante, sondern verschiedener Lösungsideen. In genau diesen Diskussionen zu Lösungen steckt die Kraft dieses Buches." - Forum-Hilfe.de, Dezember 2006Lesen Sie die ausführliche Rezension unter: http://www.forum-hilfe.de/viewtopic.php?p=174701"Das Python Cookbook ist für Programmierer, die schon mit Python umgehen können. Da auch Teile von Python vorgestellt sind, die ganz neu oder unbekannt sind, kann auch der fortgeschrittene und Profi-Programmierer noch viel lernen. [...] Was ich das schöne an diesem Buch finde, ist dass es sich sowohl als Nachschlagewerk eignet als auch einfach zum Stöbern. Seit ich das Buch habe, liegt es beim Programmieren meist offen neben mir. Aber auch ohne Computer in Reichweite macht es mir viel Spass neue Sachen daraus zu lernen. -- Leserrezension von Uwe Zeisberger, Freiburger Linux Usergroup, 05/2005 Lesen Sie die vollständige Rezension unter: http://freiburg.linux.de/texte/reviews/pythoncook2.html
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