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Beginning Python
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Beginning Python
von: Peter C. Norton, Alex Samuel, Dave Aitel, Eric Foster-Johnson, Leonard Richardson, Jason Diamond, Al
Wrox, 2005
ISBN: 9780471760313
689 Seiten, Download: 3333 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: A (einfacher Zugriff)

 

 
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Inhaltsverzeichnis

  Beginning Python 5  
     About the Authors 7  
     Credits 9  
     Contents 13  
     Acknowledgments 31  
     Introduction 33  
        What Is Python? 33  
        The Benefits of Python 33  
        Who This Book Is For 34  
        What This Book Covers 35  
        How This Book Is Structured 35  
        What You Need to Use This Book 37  
        Conventions 38  
        On the Web Site 39  
        Errata 39  
        p2p.wrox.com 40  
     Chapter 1: Programming Basics and Strings 41  
        How Programming Is Different from Using a Computer 41  
        The First Steps 43  
        Beginning to Use Python — Strings 45  
        Putting Two Strings Together 48  
        Putting Strings Together in Different Ways 49  
        Displaying Strings with Print 50  
        Summary 50  
        Exercises 51  
     Chapter 2: Numbers and Operators 53  
        Different Kinds of Numbers 53  
        Program Files 55  
        Using Numbers 61  
        Summary 64  
        Exercises 65  
     Chapter 3: Variables — Names for Values 67  
        Referring to Data — Using Names for Data 67  
        Using More Built-in Types 70  
        Other Common Sequence Properties 78  
        Summary 81  
        Exercises 82  
     Chapter 4: Making Decisions 83  
        Comparing Values — Are They the Same? 83  
        Doing the Opposite — Not Equal 85  
        Comparing Values — Which One Is More? 85  
        Reversing True and False 87  
        Looking for the Results of More Than One Comparison 88  
        Repetition 91  
        Handling Errors 95  
        Summary 97  
        Exercises 98  
     Chapter 5: Functions 99  
        Putting Your Program into Its Own File 99  
        Functions: Grouping Code under a Name 101  
        Layers of Functions 114  
        Summary 115  
        Exercises 116  
     Chapter 6: Classes and Objects 119  
        Thinking About Programming 119  
        Defining a Class 121  
        Summary 132  
        Exercises 133  
     Chapter 7: Organizing Programs 135  
        Modules 136  
        Packages 141  
        Modules and Packages 143  
        Basics of Testing Your Modules and Packages 146  
        Summary 146  
        Exercises 147  
     Chapter 8: Files and Directories 149  
        File Objects 149  
        Paths and Directories 153  
        Pickles 163  
        Summary 165  
        Exercises 165  
     Chapter 9: Other Features of the Language 167  
        Lambda and Filter: Short Anonymous Functions 167  
        Reduce 168  
        Map: Short-Circuiting Loops 169  
        Decisions within Lists — List Comprehension 170  
        Generating Lists for Loops 171  
        Special String Substitution Using Dictionaries 173  
        Featured Modules 174  
        Summary 181  
        Exercises 182  
     Chapter 10: Building a Module 183  
        Exploring Modules 183  
        Creating Modules and Packages 190  
        Working with Classes 191  
        Finishing Your Modules 194  
        Creating a Whole Module 205  
        Installing Your Modules 210  
        Summary 214  
        Exercises 214  
     Chapter 11: Text Processing 215  
        Why Text Processing Is So Useful 215  
        Navigating the File System with the os Module 218  
        Working with Regular Expressions and the re Module 224  
        Summary 229  
        Exercises 229  
     Chapter 12: Testing 231  
        Assertions 231  
        Test Cases and Test Suites 233  
        Test Fixtures 236  
        Putting It All Together with Extreme Programming 239  
        Formal Testing in the Software Life Cycle 247  
        Summary 248  
     Chapter 13: Writing a GUI with Python 249  
        GUI Programming Toolkits for Python 249  
        PyGTK Introduction 250  
        pyGTK Resources 251  
        Creating GUI Widgets with pyGTK 253  
        Using libGlade with Python 265  
        A Glade Walkthrough 265  
        Creating a Real Glade Application 271  
        Advanced Widgets 278  
        Further Enhancing PyRAP 281  
        Summary 288  
        Exercises 288  
     Chapter 14: Accessing Databases 289  
        Working with DBM Persistent Dictionaries 290  
        Working with Relational Databases 295  
        Using the Python Database APIs 302  
        Summary 313  
        Exercises 314  
     Chapter 15: Using Python for XML 315  
        What Is XML? 315  
        What Is a Schema/DTD? 318  
        Document Type Definitions 318  
        Schemas 320  
        XPath 322  
        HTML as a Subset of XML 322  
        XML Libraries Available for Python 325  
        Validating XML Using Python 325  
        What Is SAX? 327  
        What Is DOM? 328  
        Why Use SAX or DOM 329  
        SAX and DOM Parsers Available for Python 329  
        Intro to XSLT 333  
        Using Python to Transform XML Using XSLT 334  
        Putting It All Together: Working with RSS 336  
        Summary 343  
        Exercises 343  
     Chapter 16: Network Programming 345  
        Understanding Protocols 347  
        Sending Internet E-mail 351  
        Retrieving Internet E-mail 363  
        Socket Programming 371  
        Other Topics 390  
        Summary 394  
        Exercises 394  
     Chapter 17: Extension Programming with C 395  
        Extension Module Outline 396  
        Building and Installing Extension Modules 398  
        Passing Parameters from Python to C 400  
        Returning Values from C to Python 403  
        The LAME Project 404  
        The LAME Extension Module 408  
        Using Python Objects from C Code 420  
        Summary 423  
        Exercises 423  
     Chapter 18: Writing Shareware and Commercial Programs 425  
        A Case Study: Background 425  
        How Much Python Should You Use? 426  
        Pure Python Licensing 427  
        Pricing Strategies 429  
        Your Development Environment 435  
        Finding Python Programmers 436  
        Python Problems 437  
        Portable Distribution 440  
        Essential Libraries 441  
        Summary 443  
     Chapter 19: Numerical Programming 445  
        Numbers in Python 445  
        Mathematics 452  
        Complex Numbers 456  
        Arrays 458  
        Summary 464  
        Exercises 465  
     Chapter 20: Python in the Enterprise 467  
        Enterprise Applications 468  
        Auditing, Sarbanes-Oxley, and What You Need to Know 473  
        Working with Actual Enterprise Systems 475  
        Summary 498  
     Chapter 21: Web Applications and Web Services 499  
        REST: The Architecture of the Web 500  
        HTTP: Real-World REST 503  
        CGI: Turning Scripts into Web Applications 508  
        Building a Wiki 519  
        Web Services 533  
        REST Web Services 534  
        XML-RPC 548  
        SOAP 560  
        Documenting Your Web Service API 569  
        Choosing a Web Service Standard 574  
        Web Service Etiquette 575  
        A Sampling of Publicly Available Web Services 576  
        Summary 578  
        Exercises 578  
     Chapter 22: Integrating Java with Python 579  
        Scripting within Java Applications 580  
        Comparing Python Implementations 581  
        Installing Jython 581  
        Running Jython 582  
        Running Jython on Your Own 586  
        Packaging Jython-Based Applications 587  
        Integrating Java and Jython 587  
        Testing from Jython 605  
        Embedding the Jython Interpreter 606  
        Compiling Python Code to Java 608  
        Handling Differences between C Python and Jython 609  
        Summary 610  
        Exercises 611  
     Appendix A: Answers to Exercises 613  
     Appendix B: Online Resources 645  
        For More Information 647  
     Appendix C: What’s New in Python 2.4 649  
        Negative Numbers 649  
        Automatic Promotion of Large Numbers 649  
        A Different String Substitution 650  
        Looking at Sequences in Reverse 650  
        A More Pythonish Subprocess Creation 650  
        Making Import a Bit Easier 651  
        None Really Is None 651  
     Glossary 653  
     Index 663  


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