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Programming Python 1ST Editionby Mark Lutz
Synopses & Reviews
Programming Python is a classic O'Reilly Nutshell Handbook® describing the use of the Python programming/scripting language. Python is a popular scripting language freely available over the Net. Like Perl, Python is powerful, but easier to use than a traditional compiler language like C or C++. Although it is used mostly in UNIX environments (including Linux), it is available on Windows and Mac platforms as well. Unlike Perl, Python uses an object-oriented paradigm, making it a particularly useful scripting language for C++ programmers and the Windows/OLE and Mac environments. This book will serve the Python community as our Programming Perl book does for the Perl community.
This book complements the online reference material provided with the Python releases. It is endorsed by the creator of Python, Guido van Rossum, who wrote the foreword. The CD-ROM included with the book contains Python 1.3 binaries for most popular UNIX platforms, as well as Linux, Windows, NT, and the Mac. This book is the most comprehensive Python user material available from any publisher. It contains a number of running examples, presented simply at first but becoming more complex as new issues appear. Examples describing Graphical User Interface (GUI) programming use the Tk language. (Tk is usually considered a part of the Tcl scripting language, but is in fact usable with other scripting languages like Perl and Python.)
An appendix contains a separate short language tutorial.
This handbook describes how to use Python, an increasingly popular object-oriented scripting language freely available over the Net. Python is an interpreted language, useful for quick prototyping and simple programs for which C++ is too complex and unwieldy. The Python interpreter is available on most popular UNIX platforms, including Linux, as well as Windows and the Mac.
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This book describes how to use Python, an increasingly popularobject-oriented scripting language freely available over the Net.Python is an interpreted language, useful for quick prototyping andsimple programs for which C++ is too complex and unwieldy.The Pythoninterpreter is available on most popular UNIX platforms, including Linux, as well as Windows, NT, and the Mac."Programming Python, the most comprehensive source of user material availablefor this scripting language, complements online reference material providedwith Python releases.It has been both reviewed and endorsed by Pythoncreator Guido van Rossum, who also provides the foreword.You'll findmany useful running examples, which become more complex as new topicsare introduced.Examples that describe Graphical User Interface (GUI)use TK as well as Python.An appendix contains a short language tutorial.Includes a CD-ROM containing Python software for all major UNIX platforms, as well as Windows, NT, and the Mac. This authoritative guide offers the Python community what our "ProgrammingPerl book offers the Perl community.
Includes bibliographical references (p. 858-860) and index.
About the Author
Mark Lutz is the world leader in Python training, the author of Python's earliest and best-selling texts, and a pioneering figure in the Python community since 1992. He has been a software developer for 25 years, and is the author of O'Reilly's Programming Python, 3rd Edition and Python Pocket Reference, 3rd Edition.
Table of Contents
Table of Contents Foreword Preface PART 1: Introducing Python Chapter 1. So What's Python? "And Now for Something Completely Different" The Life of Python What's All the Excitement About? The Compulsory Features List What's Python Good For? What's Python Not Good For? Chapter 2. A Sneak Preview "Put Your Code Where Your Mouth Is" Shell Tools Programming Graphical User Interfaces Data Structure Libraries Persistent Information Processing Text-Based Information Extension Language Programming And Whatever Else You Want to Use It For Conclusion Chapter 3. Getting Started "Scenes from Life in the Real World" Configuring Your Environment Installing Python And If All Else Fails Using the Command-Line Interpreter Using the Python Command Line Platforms Supported Today What's Next? Conclusion PART 2: Language Fundamentals Chapter 4. Writing Basic Shell Tools It Was a Dark and Stormy Night... "Quick and Dirty" File Packing Dissecting the Code New Language Concepts "Telling the Monkeys What to Do" Chapter 5. Variations on a Theme "How Shall I Code Thee? Let Me Count the Ways" Packing With File Methods Packing with Explicit Files Packing with Counter Loops Unpacking with Explicit Files Unpacking with Line-by-Line Input Unpacking Without File Methods Crunching the Code (to Death) Chapter 6. Adding a Functional Interface "The Packing Scripts Go Public" Part 1: "The Middleman" Part 2: "The Unpacker on Steroids" Part 3: "The Packer Hits the Big Time" Building Systems with Functions Chapter 7. Adding a Simple User Interface "Go Ahead--Reuse My Software" Running Scripts Versus Calling Functions Running the Interface in batch Mode Building Systems with Modules Chapter 8. Adding Text-Based Menus "On Today's Menu: Packing, Unpacking, and Fresh Spam" Making Menus with Dictionaries Making Menus with Lists Built-In Types: Operators, Methods, and Modules The Zen of Python: Namespaces are Dictionaries Dictionaries and Keyword Arguments Design Concepts: Do Modules Support OOP? Chapter 9. Moving Menus to Classes "Here's Your Script. Here's Your Script on OOP. Any Questions?" A First Attempt: Generalized Menu Functions So Who Needs Classes? OOP in Action: Menus as Classes Exploring Python Classes Configuring Menu Data Namespaces, Part 3: Classes and Instances More on Zen: Class and Instance Namespace Dictionaries Design Concepts: Implementing Generic Functions Chapter 10. More Class Magic More Bells, Whistles, and Little Blinking Lights Deriving Menus from Simpler User Interaction A Simple User-Interface Subclass: Back to Where We Started? A Menu-Interface Subclass: Registering Methods Inheriting from More than One Class More on Exception Handling: Exception Lists Making Menus Expandable: Overloading Operators Summary: Python and the OOP Trinity Design Exercise: Adding Logging and Security Extensions Where's the Beef? Conclusion Welcome to the Middle of the Book! A Quick Summary of Topics We've Covered So Far Plus a Few Shell Tool Tricks Python in a Nutshell What's Next? Brewing Python tee PART 3: Tools and Applications Chapter 11. Graphical User Interfaces "Here's Looking at You, Kid" Climbing the GUI Learning Curve Automating GUI Construction Case Study: "The Packer Goes GUI!" Avoiding Namespace Clashes Handling Program Errors A Totally RAD Language Other Tkinter Topics Summary Chapter 12. Persistent Information "Give Me an Order of Persistence, But Hold the Pickles" Case Study: a Table Browser GUI Other Persistence Topics Summary Chapter 13. Implementing Objects "Roses are Red, Violets are Blue; Lists are Mutable, and So is Class Foo" Implementing Stacks Implementing Sets Classical Data Structures in Python Chapter 14. Extending Python "I Am Lost at C" Examples We've Already Seen Moving Stacks to a C Extension Module Moving Stacks to a C Extension Type Now, Forget Most of the Details Chapter 15. Embedding Python "Add Python. Mix well. Repeat." Python's Embedded Call API Basic Embedding Strategies A Higher-Level Embedded Call API An Embedded Call API Client Case Study: Embedding User-Coded Validations Other Approaches: Registering Callable Objects Other Integration Topics Automated Integration Techniques Summary: Python/C Integration Techniques Chapter 16. Processing Language and Text "See Jack Hack. Hack, Jack, Hack" Strategies for Parsing Text in Python Case Study: A Calculator GUI The "Big Finish": A Real Calculator GUI Conclusion: Python and the Development Cycle" 697 "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... "Roll the Closing Credits" PART 4: Appendixes Appendix A. ...And Other Cool Stuff Appendix B. Futurisms Appendix C. A Mini-Reference Appendix D. An Application Framework Appendix E. A Python Tutorial Appendix F. Python Classes for C++ Programmers Glossary Index
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