Mark Lutz

Programming Python

• Broschiertes Buch

Produktbeschreibung

Already the industry standard for Python users, Programming
Python from
O'Reilly just got even better. This third edition has been updated to
reflect current best practices and
the abundance of changes introduced by the latest version of the
language, Python 2.5.
Whether you're a novice or an advanced
practitioner, you'll find this
refreshed book more than lives up to its reputation. Programming
Python, 3rd Edition, teaches you the right
way to code. It explains Python language syntax and programming
techniques in a clear and concise
manner, with numerous examples that illustrate both correct usage and
common idioms. By reading this
comprehensive guide, you'll learn how to apply Python in real-world
problem domains such as:
* GUI programming
* Internet scripting
* Parallel processing
* Database management
* Networked applications
Programming Python, Third Edition covers
each of these
target domains
gradually, beginning with in-depth discussions of core concepts and
then progressing toward complete
programs. Large examples do appear, but only after you've learned
enough to understand their techniques and
code.
Along the way, you'll also learn how to use the Python language in
realistically scaled programs--concepts such as Object-Oriented Programming (OOP) and code reuse
are recurring side themes throughout this
text. If you're interested in Python programming, then this O'Reilly
classic needs to be within arm's reach. The
wealth of practical advice, snippets of code, and patterns of program
design can all be put into use on a
daily basis--making your life easier and more productive.
Reviews of the second edition:
"...about as comprehensive as any book can be."

--Dr. Dobb's Journal
"If the language had manuals, they would undoubtedly
be the texts from O'Reilly...'Learning Python' and 'Programming Python'
are definitive treatments."

--SD Times

Produktdetails

• Verlag: O'Reilly & Associates
• 3rd edition
• Englisch
• ISBN-13: 9780596009250
• ISBN-10: 0596009259
• Artikelnr.: 20816358

Autorenporträt

Mark Lutz is an independent Python trainer, writer, and software developer, and is one of the pioneering figures in the Python community. He is the author of the O'Reilly books Programming Python and Python Pocket Reference, and co-author of Learning Python (all in 2nd or 3rd Editions). Mark has been involved with Python since 1992, began teaching Python classes in 1997, and has instructed over 125 Python training sessions as of early 2005. In addition, he holds BS and MS degrees in computer science from the University of Wisconsin, and over the last two decades has worked on compilers, programming tools, scripting applications, and assorted client/server systems. Whenever Mark gets a break from spreading the Python word, he leads an ordinary, average life in Colorado. Mark can be reached on the web at http://www.rmi.net/~lutz.

Inhaltsangabe

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