Core Python Programming

Core Python Programming

by Wesley J Chun

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Product Details

ISBN-13: 9780137061594
Publisher: Pearson Education
Publication date: 09/18/2006
Series: Core Series
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 1136
File size: 43 MB
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About the Author

Wesley J. Chun, MSCS, is the author of Python Fundamentals, a companion video to Core Python Programming, and the coauthor of Python Web Development with Django. In addition to being a senior software architect, he runs CyberWeb (cyberwebconsulting.com), a consulting business specializing in Python software engineering and technical training. He has more than twenty-five years of programming, teaching, and writing experience, including more than a decade with Python. While at Yahoo!, he helped create Yahoo!Mail and Yahoo! People Search using Python. He holds degrees in computer science, mathematics, and music from the University of California.

Table of Contents

Preface xxiii

Acknowledgments xxxv

Part I: Core Python 2

Chapter 1 Welcome to Python! 4

1.1 What Is Python? 5

1.2 Origins 6

1.3 Features 6

1.4 Downloading and Installing Python 11

1.5 Running Python 13

1.6 Python Documentation 22

1.7 Comparing Python 23

1.8 Other Implementations 26

1.9 Exercises 27

Chapter 2 Getting Started 30

2.1 Program Output, the print Statement, and "Hello World!" 32

2.2 Program Input and the raw_input() Built-in Function 33

2.3 Comments 35

2.4 Operators 35

2.5 Variables and Assignment 37

2.6 Numbers 37

2.7 Strings 39

2.8 Lists and Tuples 40

2.9 Dictionaries 40

2.10 Code Blocks Use Indentation 41

2.11 if Statement 41

2.12 while Loop 42

2.13 for Loop and the range() Built-in Function 43

2.14 List Comprehensions 45

2.15 Files and the open() and file() Built-in Functions 46

2.16 Errors and Exceptions 47

2.17 Functions 48

2.18 Classes 50

2.19 Modules 52

2.20 Useful Functions 54

2.21 Exercises 55

Chapter 3 Python Basics 60

3.1 Statements and Syntax 61

3.2 Variable Assignment 64

3.3 Identifiers 67

3.4 Basic Style Guidelines 69

3.5 Memory Management 75

3.6 First Python Programs 79

3.7 Related Modules/Developer Tools 84

3.8 Exercises 85

Chapter 4 Python Objects 88

4.1 Python Objects 89

4.2 Other Built-in Types 91

4.3 Internal Types 93

4.4 Standard Type Operators 96

4.5 Standard Type Built-in Functions 101

4.6 Categorizing the Standard Types 111

4.7 Unsupported Types 116

4.8 Exercises 117

Chapter 5 Numbers 120

5.1 Introduction to Numbers 121

5.2 Integers 122

5.3 Double Precision Floating Point Numbers 125

5.4 Complex Numbers 126

5.5 Operators 127

5.6 Built-in and Factory Functions 136

5.7 Other Numeric Types 145

5.8 Related Modules 148

5.9 Exercises 151

Chapter 6 Sequences: Strings, Lists, and Tuples 156

6.1 Sequences 158

6.2 Strings 168

6.3 Strings and Operators 170

6.4 String-Only Operators 178

6.5 Built-in Functions 184

6.6 String Built-in Methods 188

6.7 Special Features of Strings 192

6.8 Unicode 197

6.9 Related Modules 206

6.10 Summary of String Highlights 208

6.11 Lists 209

6.12 Operators 211

6.13 Built-in Functions 216

6.14 List Type Built-in Methods 220

6.15 Special Features of Lists 224

6.16 Tuples 232

6.17 Tuple Operators and Built-in Functions 233

6.18 Special Features of Tuples 235

6.19 Related Modules 239

6.20 *Copying Python Objects and Shallow and Deep Copies 240

6.21 Summary of Sequences 243

6.22 Exercises 246

Chapter 7 Mapping and Set Types 252

7.1 Mapping Type: Dictionaries 253

7.2 Mapping Type Operators 258

7.3 Mapping Type Built-in and Factory Functions 260

7.4 Mapping Type Built-in Methods 265

7.5 Dictionary Keys 268

7.6 Set Types 273

7.7 Set Type Operators 276

7.8 Built-in Functions 280

7.9 Set Type Built-in Methods 281

7.10 Operator, Function/Method Summary Table for Set Types 283

7.11 Related Modules 283

7.12 Exercises 285

Chapter 8 Conditionals and Loops 290

8.1 if Statement 291

8.2 else Statement 292

8.3 elif (aka else-if) Statement 294

8.4 Conditional Expressions (aka "the Ternary Operator") 295

8.5 while Statement 296

8.6 for Statement 298

8.7 break Statement 304

8.8 continue Statement 305

8.9 pass Statement 306

8.10 else Statement . . . Take Two 307

8.11 Iterators and the iter() Function 309

8.12 List Comprehensions 313

8.13 Generator Expressions 315

8.14 Related Modules 320

8.15 Exercises 320

Chapter 9 Files and Input/Output 324

9.1 File Objects 325

9.2 File Built-in Functions [open() and file()] 326

9.3 File Built-in Methods 329

9.4 File Built-in Attributes 336

9.5 Standard Files 337

9.6 Command-Line Arguments 338

9.7 File System 339

9.8 File Execution 348

9.9 Persistent Storage Modules 348

9.10 Related Modules 351

9.11 Exercises 353

Chapter 10 Errors and Exceptions 358

10.1 What Are Exceptions? 360

10.2 Exceptions in Python 361

10.3 Detecting and Handling Exceptions 364

10.4 Context Management 382

10.5 *Exceptions as Strings 386

10.6 Raising Exceptions 386

10.7 Assertions 389

10.8 Standard Exceptions 391

10.9 *Creating Exceptions 394

10.10 Why Exceptions (Now)? 401

10.11 Why Exceptions at All? 402

10.12 Exceptions and the sys Module 403

10.13 Related Modules 404

10.14 Exercises 405

Chapter 11 Functions and Functional Programming 408

11.1 What Are Functions? 408

11.2 Calling Functions 409

11.3 Creating Functions 412

11.4 Passing Functions 418

11.5 Formal Arguments 428

11.6 Variable-Length Arguments 433

11.7 Functional Programming 439

11.8 Variable Scope 453

11.9 Recursion 466

11.10 Generators 467

11.11 Exercises 471

Chapter 12 Modules 476

12.1 What Are Modules? 477

12.2 Modules and Files 478

12.3 Namespaces 480

12.4 Importing Modules 484

12.5 Features of Module Import 486

12.6 Module Built-in Functions 491

12.7 Packages 493

12.8 Other Features of Modules 496

12.9 Related Modules 500

12.10 Exercises 501

Chapter 13 Object-Oriented Programming 504

13.1 Introduction 506

13.2 Object-Oriented Programming 514

13.3 Classes 518

13.4 Class Attributes 520

13.5 Instances 526

13.6 Instance Attributes 531

13.7 Binding and Method Invocation 540

13.8 Static Methods and Class Methods 542

13.9 Composition 544

13.10 Subclassing and Derivation 545

13.11 Inheritance 547

13.12 Built-in Functions for Classes, Instances, and Other Objects 558

13.13 Customizing Classes with Special Methods 564

13.14 Privacy 585

13.15 *Delegation 587

13.16 Advanced Features of New-Style Classes (Python 2.2+) 595

13.17 Related Modules and Documentation 615

13.18 Exercises 618

Chapter 14 Execution Environment 626

14.1 Callable Objects 628

14.2 Code Objects 635

14.3 Executable Object Statements and Built-in Functions 636

14.4 Executing Other (Python) Programs 649

14.5 Executing Other (Non-Python) Programs 653

14.6 Restricted Execution 663

14.7 Terminating Execution 663

14.8 Miscellaneous Operating System Interface 666

14.9 Related Modules 668

14.10 Exercises 668

Part II: Advanced Topics 670

Chapter 15 Regular Expressions 672

15.1 Introduction/Motivation 673

15.2 Special Symbols and Characters 676

15.3 REs and Python 683

15.4 Regular Expressions Example 698

15.5 Exercises 705

Chapter 16 Network Programming 710

16.1 Introduction 711

16.2 Sockets: Communication Endpoints 715

16.3 Network Programming in Python 718

16.4 *SocketServer Module 732

16.5* Introduction to the Twisted Framework 737

16.6 Related Modules 741

16.7 Exercises 742

Chapter 17 Internet Client Programming 746

17.1 What Are Internet Clients? 747

17.2 Transferring Files 748

17.3 Network News 756

17.4 Electronic Mail 766

17.5 Related Modules 778

17.6 Exercises 779

Chapter 18 Multithreaded Programming 786

18.1 Introduction/Motivation 787

18.2 Threads and Processes 789

18.3 Python, Threads, and the Global Interpreter Lock 790

18.4 thread Module 795

18.5 threading Module 800

18.6 Related Modules 814

18.7 Exercises 814

Chapter 19 GUI Programming 818

19.1 Introduction 819

19.2 Tkinter and Python Programming 821

19.3 Tkinter Examples 826

19.4 Brief Tour of Other GUIs 840

19.5 Related Modules and Other GUIs 848

19.6 Exercises 851

Chapter 20 Web Programming 854

20.1 Introduction 855

20.2 Web Surfing with Python: Creating Simple Web Clients 859

20.3 Advanced Web Clients 869

20.4 CGI: Helping Web Servers Process Client Data 875

20.5 Building CGI Applications 878

20.6 Using Unicode with CGI 892

20.7 Advanced CGI 894

20.8 Web (HTTP) Servers 906

20.9 Related Modules 909

20.10 Exercises 913

Chapter 21 Database Programming 918

21.1 Introduction 919

21.2 Python Database Application Programmer's Interface (DB-API) 924

21.3 Object-Relational Managers (ORMs) 946

21.4 Related Modules 958

21.5 Exercises 960

Chapter 22 Extending Python 962

22.1 Introduction/Motivation 963

22.2 Extending Python by Writing Extensions 965

22.3 Related Topics 981

22.4 Exercises 982

Chapter 23 Miscellaneous 984

23.1 Web Services 985

23.2 Programming Microsoft Office with Win32 COM 989

23.3 Python and Java Programming with Jython 1002

23.4 Exercises 1006

Appendix A Answers to Selected Exercises 1011

Appendix B Reference Tables 1021

Index 1049

Preface

Welcome to Core Python Programming!

We are delighted that you have engaged us to help you learn Python as quickly and as in-depth as possible. Learning the syntax is one goal of this book; however, we also believe that if you learn how Python works under the covers, you won't just be able to program in Python, but you will write more effective Python applications even as a beginner to the language. As you know, just because you learn a language's syntax does not make you competent in it right away.

Throughout the book, you will find many examples that you can try right in front of your computer. To hammer the concepts home, you will also find fun and challenging exercises at the end of every chapter. These easy and intermediate exercises are meant to test your learning and push your Python skills. There simply is no substitute for experience. We believe you should not only pick up Python programming skills but also be able to master them in as short a time period as possible.

About This Book

This book differs from other Python books on the market by presenting a broad range of topics, providing numerous examples, and going in-depth where necessary. This book does not require a specific background such as prior knowledge of C or object-oriented programming. It is also not a large case study book that does not facilitate picking up the language quickly. Finally, this book is not a pure reference nor is it meant to be a quick "dive" into Python. What we have is an extremely comprehensive introduction to the core features of the language (Part I) followed by a set of chapters that delve into specific areas of intermediate Python programming.

This book is 40 percent introductory, 40 percent intermediate to advanced, and 20 percent reference. It is targeted toward technical professionals who are already familiar with programming in one other high-level language, as well as university/college and secondary students. Because Python is used in larger solutions such as Zope, Plone, MailMan, and Django, this book may be used by principals developing, managing, maintaining, or integrating with those systems.

With regard to the code in this book, about a third of the first edition readers sent in complaints that there were not enough large, full-fledged applications in the book, or that the code examples were not long or comprehensive enough. Everyone else wrote that they loved the short, easy-to-understand examples and were not bored of page after page of mind-numbing code. The philosophy behind more short examples is to give you the ability to look at a piece of code and grasp its entirety. These turn into building blocks to understanding and then can be incorporated into larger applications as well. There are line-by-line explanations for most of the larger programs in the book. The abundant interpreter code snippets scattered throughout the book are there for you to try on your computer as you are learning Python—use the interactive interpreter as much as possible. You not only learn and improve your Python from using it, but you can also benefit from working out bugs in your code before you paste it into your source file.

Because you cannot learn Python well without practice, you will find the exercises at the end of every chapter to be one of the greatest strengths of this book. They will test your knowledge of chapter topics and definitions, as well as get you to code as much as possible. There is no substitute to learning a programming language faster and more effectively than by building applications. You will find easy, intermediate, and difficult problems to solve. It is also here that you may have to write one of those "large" applications that many readers wanted to see in the book, but rather than having me do it, you gain the most from such exercises. Appendix A features answers to selected problems from each chapter.

Another set of first edition readers remarked how useful the reference tables were throughout the book, and how they meticulously copied them for reference. Well, instead of flipping through each chapter looking for the tables, we have summarized the most highly used ones in Appendix B. Thanks for all of your feedback. I encourage you to keep talking to us and help us make a third edition possible and better than its predecessors!

Finally, both the "Other References" appendix and the CD-ROM from the first edition are not included with this edition. You would not believe how quickly Web links can become obsolete in six months much less six years! The most up-to-date source code and Python interpreters can easily be downloaded for offline use at the book's Web site, so there really is no reason to include a CD-ROM.

About the Reader

This book is meant for you if you are a programmer completely new to Python or already know some Python but want to know more and improve your Python skillset. Python is used in many fields, including engineering, informa*tion technology, science, business, entertainment, and so on. This means that the list of Python users (and readers of this book) includes but is not limited to:

  • Software engineers
  • Hardware design/CAD engineers
  • QA/testing and automation framework developers
  • IS/IT/system and network administrators
  • Scientists and mathematicians
  • Technical or project management staff
  • Multimedia or audio/visual engineers
  • SCM or release engineers
  • Web masters and content management staff
  • Customer/technical support engineers
  • Database engineers and administrators
  • Research and development engineers
  • Software integration and professional services staff
  • Collegiate and secondary educators
  • Web service engineers
  • Financial software engineers
  • And many others

Some of the most famous companies using Python include Google, Yahoo!, NASA, Lucasfilm/Industrial Light and Magic, Red Hat, Zope, Disney, Pixar, and Dreamworks.

The Author's Experience with Python

I discovered Python over a decade ago at a company called Four11. At the time, the company had one major product, the Four11.com White Page directory service. Python was being used to design our next product: the Rocketmail Web-based e-mail service that would eventually evolve into what today is Yahoo!Mail.

It was fun learning Python and being on the original Yahoo!Mail engineering team. I helped rearchitect the address book and spell checker. At the time, Python also made its way as part of a number of other Yahoo! sites, including People Search, Yellow Pages, and Maps and Driving Directions, just to name a few. I was the lead engineer for People Search.

Although Python was new to me then, it was fairly easy to pick up—much simpler than other languages I had learned in the past. The scarcity of textbooks at the time led me to primarily use the Library Reference and Quick Reference Guide as my tools in learning, and also led to the motivation for the book you are reading right now.

Since my days at Yahoo!, I have been able to use Python in all sorts of interesting ways at the jobs that followed. In each case, I was able to harness the power of Python in solving the problems at hand and in a timely manner. I have also developed several Python courses and have used this book to teach those classes, truly eating my own dogfood.

Not only is Core Python Programming a great book to learn Python from, but it is also the best book to teach Python with! As an engineer, I know what it takes to learn, understand, and apply a new technology. As a professional instructor, I also know what is needed to deliver the most effective sessions for clients. This provides the experience necessary to be able to give you real-world analogies and tips that you cannot get from someone who is "just a trainer" or "just a book author."

About the Author's Writing Style: Technical, Yet Easy Reading

Rather than strictly a "beginners" book or a pure, hard-core computer science reference book, my instructional experience indicates that an easy-to-read, yet technically oriented book serves our purpose the best, which is to get you up to speed on Python as quickly as possible so that you can apply it to your tasks posthaste. We will introduce concepts coupled with appropriate examples to expedite the learning process. At the end of each chapter you will find numerous exercises to reinforce some of the concepts and ideas acquired in your reading.

We are thrilled and humbled to be compared with Bruce Eckel's writing style (see the reviews to the first edition at the book's Web site (http://www.corepython.com). This is not a dry college textbook. As the author, I am having a conversation with you, as if you were attending one of my well-received Python training courses. As a lifelong student, I constantly put myself in my student's shoes and tell you what you need to hear in order to learn the concepts as quickly and as thoroughly as possible. You will find reading this book fast and easy, without losing sight of the technical details.

As an engineer, I know what I need to tell you in order to teach you a concept in Python. As a teacher, I can take technical details and boil them down into language that is easy to understand and grasp right away. You are getting the best of both worlds with my writing and teaching styles, but you will enjoy programming in Python even more.

About This Second Edition

At the time the first edition was published, Python was entering its second era with the release of version 2.0. Since then, the language has seen significant improvements contributing to the overall continuing success and acceptance of the language. Deficiencies have been removed and new features added that bring a new level of power and sophistication to Python developers worldwide. We are thrilled to be able to update this book yet still deliver easy reading along with comprehensive coverage of the exciting new features. This book includes changes to Python 2.5, released in the fall of 2006, and even some pre-announced features of 2.6 and beyond. As in the first edition, we aim to keep all of the topics relevant for readers regardless of the Python version you are using, extending the lifetime of this book, retarding its obsolescence.

Python is slowly going to be transitioning to the next big version change with a release affectionately called "Python 3000" by its creator, Guido van Rossum. This is just the marketing name for Python 3.0, or "Py3K" for short. It will be developed in parallel with the remaining 2.x releases. There will be some incompatibilities with older versions of Python; however, the core team will work hard to ensure that code will be backwards-compatible for the most part. (This is in tradition with any new Python release.) Look mostly for interesting additions to the language as well as the disappearance of old design flaws and deprecated features.

We will continue to update the book's Web site with white papers, updates, and other related articles to keep Core Python Programming as contemporary as possible, regardless of which new release of Python you have migrated to.

The new topics we have added to this edition include:

Boolean and set types (Chapters 5 and 7)

New-style classes (Chapter 13)

  • Subclassing built-in types
  • Static methods and class methods
  • Slots
  • Properties
  • Descriptors
  • Metaclasses
  • Functions (Chapter 11)

  • Generators
  • Function (and method) decorators
  • Statically nested scoping
  • Inner functions
  • Closures
  • Currying and partial function application
  • Looping constructs (Chapter 8)

  • Iterators
  • List comprehensions
  • Generator expressions
  • Extended import syntax (Chapter 12)

  • as keyword
  • Multi-line import
  • Absolute importing
  • Relative importing
  • Improved exception handling features (Chapter 10)

  • with statement
  • try-except-finally statement
  • In addition, we are proud to introduce three new chapters to the book: "Internet Client Programming" (Chapter 17), "Database Programming" (Chapter 21), and "Miscellaneous" (Chapter 23). These are a few intermediate areas where Python is used quite often. All existing chapters have been refreshed and updated to the latest versions of Python. Please see the chapter guide that follows for more details.

    Chapter Guide

    This book is divided into two main sections. The first part, taking up about two-thirds of the text, gives you treatment of the "core" part of the language, and the second part provides a set of various advanced topics to show what you can build using Python.

    Python is everywhere—sometimes it is amazing to discover who is using Python and what they are doing with it—and although we would have loved to produce additional chapters on such topics as Java/Jython, Win32 programming, CGI processing with HTMLgen, GUI programming with third-party toolkits (wxWidgets, GTK+, Qt, etc.), XML processing, numerical and scientific processing, visual and graphics image manipulation, and Web services and application frameworks (Zope, Plone, Django, TurboGears, and so on), there simply wasn't enough time to develop these topics into their own chapters. However, we are certainly glad that we were at least able to provide you with a good introduction to many of the key areas of Python development including some of the topics mentioned reviously.

    Here is a chapter-by-chapter guide.

    Part I: Core Python

    Chapter 1, Welcome to Python!

    We begin by introducing Python to you, its history, features, benefits, and so on, as well as how to obtain and install Python on your system.

    Chapter 2, Getting Started

    If you are an experienced programmer and just want to see "how it's done" in Python, this is the right place to go. We introduce the basic Python concepts and statements, and because many of these will be familiar to you, you can simply learn the proper syntax in Python and get started right away on your projects without sacrificing too much reading time.

    Chapter 3, Syntax and Style

    This section gives you a good overview of Python's syntax as well as style hints. You will also be exposed to Python's keywords and its memory management ability. Your first Python application will be presented at the end of the chapter to give you an idea of what real Python code looks like.

    Chapter 4, Python Objects

    This chapter introduces Python objects. In addition to generic object attributes, we will show you all of Python's data types and operators, as well as show you different ways to categorize the standard types. Built-in functions that apply to most Python objects will also be covered.

    Chapter 5, Numbers

    In this chapter, we discuss Python's main numeric types: integers, floating point numbers, and complex numbers. We look at operators and built-in and factory functions which apply to all numbers, and we also briefly discuss a few other related types.

    Chapter 6, Sequences: Strings, Lists, and Tuples

    Your first meaty chapter will expose you to all of Python's powerful sequence types: strings, lists, and tuples. We will show you all the built-in functions, methods, and special features, which apply to each type as well as all their operators.

    Chapter 7, Mapping and Set Types

    Dictionaries are Python's mapping or hashing type. Like other data types, dictionaries also have operators and applicable built-in functions and methods. We also cover Python's set types in this chapter, discussing their operators, built-in and factory functions, and built-in methods.

    Chapter 8, Conditionals and Loops

    Like many other high-level languages, Python supports loops such as for and while, as well as if statements (and related). Python also has a built-in function called range() which enables Python's for loop to behave more like a traditional counting loop rather than the "foreach" iterative type loop that it is. Also included is coverage of auxiliary statements such as break, continue, and pass, as well as a discussion of newer constructs like iterators, list comprehensions, and generator expressions.

    Chapter 9, Files and Input/Output

    In addition to standard file objects and input/output, this chapter introduces you to file system access, file execution, and persistent storage.

    Chapter 10, Errors and Exceptions

    One of Python's most powerful constructs is its exception handling ability. You can see a full treatment of it here, instruction on how to raise or throw exceptions, and more importantly, how to create your own exception classes.

    Chapter 11, Functions and Functional Programming

    Creating and calling functions are relatively straightforward, but Python has many other features that you will find useful, such as default arguments, named or keyword arguments, variable-length arguments, and some functional programming constructs. We also dip into variable scope and recursion briefly. We will also discuss some advanced features such as generators, decorators, inner functions, closures, and partial function application (a more generalized form of currying).

    Chapter 12, Modules

    One of Python's key strengths is its ability to be extended. This feature allows for "plug-and-play" access as well as promotes code reuse. Applications written as modules can be imported for use by other Python modules with a single line of code. Furthermore, multiple module software distribution can be simplified by using packages.

    Chapter 13, Object-Oriented Programming

    Python is a fully object-oriented programming language and was designed that way from the beginning. However, Python does not require you to program in such a manner—you may continue to develop structural/procedural code as you like, and can transition to OO programming anytime you are ready to take advantage of its benefits. Likewise, this chapter is here to guide you through the concepts as well as advanced topics, such as operator overloading, customization, and delegation. Also included is coverage of new features specific to new-style classes, including slots, properties, descriptors, and metaclasses.

    Chapter 14, Execution Environment

    The term "execution" can mean many different things, from callable and executable objects to running other programs (Python or otherwise). We discuss these topics in this chapter, as well as controlling execution via the operating system interface and different ways of terminating execution.

    Part II: Advanced Topics

    Chapter 15, Regular Expressions

    Regular expressions are a powerful tool used for pattern matching, extracting, and search-and-replace functionality. Learn about them here.

    Chapter 16, Network Programming

    So many applications today need to be network-oriented. You have to start somewhere. In this chapter, you will learn to create clients and servers, using TCP/IP and UDP/IP, as well as get an introduction to SocketServer and Twisted.

    Chapter 17, Internet Client Programming

    In Chapter 16, we introduced network programming using sockets. Most Internet protocols in use today were developed using sockets. In this chapter, we explore some of these higher-level libraries, which are used to build clients of such Internet protocols. In particular, we focus on FTP, NNTP, SMTP, and POP3 clients.

    Chapter 18, Multithreaded Programming

    Multithreaded programming is a powerful way to improve the execution performance of many types of application. This chapter ends the drought of written documentation on how to do threads in Python by explaining the concepts and showing you how to correctly build a Python multithreaded application.

    Chapter 19, GUI Programming

    Based on the Tk graphical toolkit, Tkinter is Python's default GUI development module. We introduce Tkinter to you by showing you how to build simple sample GUI applications (say that ten times, real fast!). One of the best ways to learn is to copy, and by building on top of some of these applications, you will be on your way in no time. We conclude the chapter by presenting a more complex example, as well as take a brief look at Tix, Pmw, wxPython, and PyGTK.

    Chapter 20, Web Programming

    Web programming using Python takes three main forms: Web clients, Web servers, and the popular Common Gateway Interface applications that help Web servers deliver dynamically-generated Web pages. We will cover them all in this chapter: simple and advanced Web clients and CGI applications, as well as how to build your own Web server.

    Chapter 21, Database Programming

    What Python does for application programming carries to database programming as well. It is simplified, and you will find it fun! We first review basic database concepts, then introduce you to the Python database application programmer's interface (API). We then show you how you can connect to a relational database and perform queries and operations with Python. Finally, if you want hands-off using the Structured Query Language (SQL) and want to just work with objects without having to worry about the underlying database layer, we will introduce you to a few object-relational managers (ORMs), which simplify database programming to yet another level.

    Chapter 22 Extending Python

    We mentioned earlier how powerful it is to be able to reuse code and extend the language. In pure Python, these extensions are modules, but you can also develop lower-level code in C, C++, or Java, and interface those with Python in a seamless fashion. Writing your extensions in a lower-level programming language gives you added performance and some security (because the source code does not have to be revealed). This chapter walks you step-by-step through the extension building process.

    Chapter 23, Miscellaneous

    This new chapter consists of bonus material that we would like to develop into full, individual chapters in the next edition. Topics covered here include Web Services, Microsoft Office (Win32 COM Client) Programming, and Java/ Jython.

    Customer Reviews

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    Core Python Programming 2 out of 5 based on 0 ratings. 1 reviews.
    0030 on LibraryThing 10 months ago
    I've found this book too obtuse to learn Python from or to use as a reference. I am now looking for an alternative title.The author has a habit of introducing new terminology in examples and only defining those terms in later pages.There is much repetition which doesn't aid clarity but has lead to a 1000+ page book. Despite of the size I found basic classes we not covered (e.g., TimeDate). One reason the text is verbose is the need to qualify inaccurate statements: e.g., p90 "All three are assigned on object creation and are read-only" ... "with one exception" ... " It's unclear if the exception refers to object creation, being read-only or both. And if only 2 of 3 why start by stating "All" ?The 2nd edition appears to have been rushed out with minor grammatical errors and some mistakes (e.g., p81 "in line 6" should be "in line 7").There are phrases, which to my eye, don't add any value to understanding. e.g., p168 "Strings are among the most popular types".This title does have some 5 star ratings so it does have an audience.