学习Python(第5版)(影印版)(套装共2册) [平装] 9787564145972

《学习Python(第5版)(影印版)(套装共2册)》将让你获得针对核心Python语言的一次全面而又深入的介绍。基于作者Mark Lutz的畅销培训课程，该第五版修订本将可以帮助你快速使用Python编写高效和高质量的代码。无论你是编程新手还是精通其他语言的有经验的开发人员，此书都适合于你。《学习Python(第5版)(影印版)(套装共2册)》通过小测验、练习和有效的讲解，这本易于遵循、自学的教程可以让你上手Python2.7和Python3.3——3.x和2.x产品线上的最新发布版本一一以及目前其他常见的版本。你也将学到一些最近在Python代码中越来越常见的高级语言特性。 作者：（美国）鲁特兹（Mark Lutz） 鲁特兹（Mark Lutz）是世界级的Python培训讲师。他是最早和最畅销Python书籍的作者。从1992年起，他就是Python社区的先锋。Mark拥有30年的软件开发经验，他是O'Reilly出版社的《Python编程》（第四版）和《Python Pocket Jleference》（第四版）的作者。 Preface Part I. Getting Started 1. A Python Q&A Session Why Do People Use Python? Software Quality Developer Productivity Is Python a "Scripting Language"? OK, but What's the Downside? Who Uses Python Today? What Can I Do with Python? Systems Programming GUIs Internet Scripting Component Integration Database Programming Rapid Prototyping Numeric and Scientific Programming And More: Gaming, Images, Data Mining, Robots, Excel How Is Python Developed and Supported? Open Source Tradeoffs What Are Python's Technical Strengths? It's Object-Oriented and Functional It's Free It's Portable It's Powerful It's Mixable It's Relatively Easy to Use It's Relatively Easy to Learn It's Named After Monty Python How Does Python Stack Up to Language X? Chapter Summary Test Your Knowledge: Quiz Test Your Knowledge: Answers 2.How Python Runs Programs Introducing the Python Interpreter Program Execution The Programmer's View Python's View Execution Model Variations Python Implementation Alternatives Execution Optimization Tools Frozen Binaries Future Possibilities? Chapter Summary Test Your Knowledge: Quiz Test Your Knowledge: Answers 3.How You Run Programs The Interactive Prompt Starting an Interactive Session The System Path New Windows Options in 3.3: PATH, Launcher Where to Run: Code Directories What Not to Type: Prompts and Comments Running Code Interactively Why the Interactive Prompt? Usage Notes: The Interactive Prompt System Command Lines and Files A First Script Running Files with Command Lines Command-Line Usage Variations Usage Notes: Command Lines and Files Unix-Style Executable Scripts: #! Unix Script Basics The Unix env Lookup Trick The Python 3.3 Windows Launcher: #! Comes to Windows Clicking File Icons Icon-Click Basics Clicking Icons on Windows The input Trick on Windows Other Icon-Click Limitations Module Imports and Reloads Import and Reload Basics The Grander Module Story: Attributes Usage Notes: import and reload Using exec to Run Module Files The IDLE User Interface IDLE Startup Details IDLE Basic Usage IDLE Usability Features Advanced IDLE Tools Usage Notes: IDLE Other IDEs Other Launch Options Embedding Calls Frozen Binary Executables Text Editor Launch Options Still Other Launch Options Future Possibilities? Which Option Should I Use? Chapter Summary Test Your Knowledge: Quiz Test Your Knowledge: Answers Test Your Knowledge: Part I Exercises Part II. Types and Operations 4. Introducing Python Object Types The Python Conceptual Hierarchy Why Use Built-in Types? Python's Core Data Types Numbers Strings Sequence Operations Immutability Type-Specific Methods Getting Help Other Ways to Code Strings Unicode Strings Pattern Matching Lists Sequence Operations Type-Specific Operations Bounds Checking Nesting Comprehensions Dictionaries Mapping Operations Nesting Revisited Missing Keys: if Tests Sorting Keys: for Loops Iteration and Optimization Tuples Why Tuples? Files Binary Bytes Files Unicode Text Files Other File-Like Tools Other Core Types How to Break Your Code's Flexibility User-Defined Classes And Everything Else Chapter Summary Test Your Knowledge: Quiz Test Your Knowledge: Answers 5. Numeric Types Numeric Type Basics Numeric Literals Built-in Numeric Tools Python Expression Operators Numbers in Action Variables and Basic Expressions Numeric Display Formats Comparisons: Normal and Chained Division: Classic, Floor, and True Integer Precision Complex Numbers Hex, Octal, Binary: Literals and Conversions Bitwise Operations Other Built-in Numeric Tools Other Numeric Types Decimal Type Fraction Type Sets Booleans …… 6. The Dynamic Typing Interlude 7. String Fundamentals 8. Lists and Dictionaries 9. Tuples, Files, and Everything Else Part III. Statements and Syntax 10. Introducing Python Statements 11. Assignments, Expressions, and Prints 12. If Tests and Syntax Rules 13. while and for Loops 14. Iterations and Comprehensions 15. The Documentation Interlude Part IV. Functions and Generators 16. Function Basics 17. Scopes 18. Arguments 19. Advanced Function Topics 20. Comprehensions and Generations 21. The Benchmarking Interlude PartV. Modules and Packages 22. Modules: The Big Picture 23. Module Coding Basics 24. Module Packages 25. Advanced Module Topics Part VI. Classes and OOP 26. OOP: The Big Picture 27. Class Coding Basics 28. A More Realistic Example 29. Class Coding Details 30. Operator Overloading 31. Designing with Classes 32. Advanced Class Topics Part VII. Exceptions and Tools 33. Exception Basics 34. Exception Coding Details 35. Exception Objects 36. Designing with Exceptions Part VIII. Advanced Topics 37. Unicode and Byte Strings 38. Managed Attributes 39. Decorators 40. Metaclasses 41. All Good Things Part IX. Appendixes A. Installation and Configuration B. The Python 3.3 Windows Launcher C. Python Changes and This Book D. Solutions to End-of-Part Exercises Index 版权页： Python 2.x coverage here has been updated to include features such as dictionary and set comprehensions that were formerly for 3.X only, but have been back-ported for use in 2.7. Python 3.x coverage has been augmented for new yield and raise syntax; the __pycache_ bytecode model; 3.3 namespace packages; PyDoc's all-browser mode; Unicode literal and storage changes; and the new Windows launcher shipped with 3.3. Assorted new or expanded coverage for JSON, timeit, PyPy, os.popen, generators, recursion, weak references,_mro_,_iter_, super,_slots_, metaclasses, descriptors, random. Sphinx, and more has been added, along with a general increase in 2.x compatibihty in both examples and narrative. This edition also adds a new conclusion as Chapter 41 (on Python's evolution), two new appendixes (on recent Python changes and the new Windows launcher), and one new chapter (on benchmarking: an expanded version of the former code timing example). See Appendix C for a concise summary of Python changes between the prior edition and this one, as well as links to their coverage in the book. This appendix also summarizes initial differences between 2.X and 3.X in general that were first addressed in the prior edition, though some, such as new-style classes, span versions and simply become mandated in 3.X (more on what the X's mean in a moment). Per the last bullet in the preceding list, this edition has also experienced some growth because it gives fuller coverage to more advanced language features-which many of us have tried very hard to ignore as optional for the last decade, but which have now grown more common in Python code. As we'll see, these tools make Python more powerful, but also raise the bar for newcomers, and may shift Python's scope and definition. Because you might encounter any of these, this book covers them head-on, instead of pretending they do not exist. Despite the updates, this edition retains most of the structure and content of the prior edition, and is still designed to be a comprehensive learning resource for both the 2.X and 3.x Python lines. While it is primarily focused on users of Python 3.3 and 2.7-the latest in the 3.X line and the likely last in the 2.X line-its historical perspective also makes it relevant to older Pythons that still see regular use today. Though it's impossible to predict the future, this book stresses fundamentals that have been valid for nearly two decades, and will likely apply to future Pythons too. As usual, I'll be posting Python updates that impact this book at the book's website described ahead. The "What's New" documents in Python's manuals set can also serve to fill in the gaps as Python surely evolves after this book is published.