Learning Python, 5th Edition, Mark Lutz

Опис Learning Python, 5th Edition Powerful Object-Oriented Programming, Mark Lutz купить книга Україна nEnglish n nОбкладинка – м”яка n nРік видання – 2013 n nКількість сторінок – 1600 n nISBN – n nБумага – біла, офсет n Про книгу Learning Python, 5th Edition Powerful Object-Oriented Programming, Mark Lutz nGet a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. n nComplete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. n nExplore Python’s major built-in object types such as numbers, lists, and dictionaries n nCreate and process objects with Python statements, and learn Python’s general syntax model n nUse functions to avoid code redundancy and package code for reuse n nOrganize statements, functions, and other tools into larger components with modules n nDive into classes: Python’s object-oriented programming tool for structuring code n nWrite large programs with Python’s exception-handling model and development tools n nLearn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing n nGetting Started n nChapter 1 : A Python Q&A Session n nWhy Do People Use Python? n nIs Python a “Scripting Language”? n nOK, but What’s the Downside? n nWho Uses Python Today? n nWhat Can I Do with Python? n nHow Is Python Developed and Supported? n nWhat Are Python’s Technical Strengths? n nHow Does Python Stack Up to Language X? n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 2 : How Python Runs Programs n nIntroducing the Python Interpreter n nProgram Execution n nExecution Model Variations n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 3 : How You Run Programs n nThe Interactive Prompt n nSystem Command Lines and Files n nUnix-Style Executable Scripts: #! n nClicking File Icons n nModule Imports and Reloads n nUsing exec to Run Module Files n nThe IDLE User Interface n nOther IDEs n nOther Launch Options n nWhich Option Should I Use? n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nTest Your Knowledge: Part I Exercises n nTypes and Operations n nChapter 4 : Introducing Python Object Types n nThe Python Conceptual Hierarchy n nWhy Use Built-in Types? n nPython’s Core Data Types n umbers n nStrings n nLists n nDictionaries n nTuples n nFiles n nOther Core Types n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 5 : Numeric Types n umeric Type Basics n umbers in Action n nOther Numeric Types n umeric Extensions n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 6 : The Dynamic Typing Interlude n nThe Case of the Missing Declaration Statements n nShared References n nDynamic Typing Is Everywhere n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 7 : String Fundamentals n nThis Chapter’s Scope n nString Basics n nString Literals n nStrings in Action n nString Methods n nString Formatting Expressions n nString Formatting Method Calls n nGeneral Type Categories n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 8 : Lists and Dictionaries n nLists n nLists in Action n nDictionaries n nDictionaries in Action n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 9 : Tuples, Files, and Everything Else n nTuples n nFiles n nCore Types Review and Summary n nBuilt-in Type Gotchas n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nTest Your Knowledge: Part II Exercises n nStatements and Syntax n nChapter 10 : Introducing Python Statements n nThe Python Conceptual Hierarchy Revisited n nPython’s Statements n nA Tale of Two ifs n nA Quick Example: Interactive Loops n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 11 : Assignments, Expressions, and Prints n nAssignment Statements n nExpression Statements n nPrint Operations n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 12 : if Tests and Syntax Rules n nif Statements n nPython Syntax Revisited n nTruth Values and Boolean Tests n nThe if/else Ternary Expression n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 13 : while and for Loops n nwhile Loops n nbreak, continue, pass, and the Loop else n nfor Loops n nLoop Coding Techniques n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 14 : Iterations and Comprehensions n nIterations: A First Look n nList Comprehensions: A First Detailed Look n nOther Iteration Contexts n ew Iterables in Python 3.X n nOther Iteration Topics n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 15 : The Documentation Interlude n nPython Documentation Sources n nCommon Coding Gotchas n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nTest Your Knowledge: Part III Exercises n nFunctions and Generators n nChapter 16 : Function Basics n nWhy Use Functions? n nCoding Functions n nA First Example: Definitions and Calls n nA Second Example: Intersecting Sequences n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 17 : Scopes n nPython Scope Basics n nThe global Statement n nScopes and Nested Functions n nThe nonlocal Statement in 3.X n nWhy nonlocal? State Retention Options n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 18 : Arguments n nArgument-Passing Basics n nSpecial Argument-Matching Modes n nThe min Wakeup Call! n nGeneralized Set Functions n nEmulating the Python 3.X print Function n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 19 : Advanced Function Topics n nFunction Design Concepts n nRecursive Functions n nFunction Objects: Attributes and Annotations n nAnonymous Functions: lambda n nFunctional Programming Tools n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 20 : Comprehensions and Generations n nList Comprehensions and Functional Tools n nGenerator Functions and Expressions n nComprehension Syntax Summary n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 21 : The Benchmarking Interlude n nTiming Iteration Alternatives n nTiming Iterations and Pythons with timeit n nOther Benchmarking Topics: pystones n nFunction Gotchas n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nTest Your Knowledge: Part IV Exercises n nModules and Packages n nChapter 22 : Modules: The Big Picture n nWhy Use Modules? n nPython Program Architecture n nHow Imports Work n nByte Code Files: __pycache__ in Python 3.2 n nThe Module Search Path n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 23 : Module Coding Basics n nModule Creation n nModule Usage n nModule Namespaces n nReloading Modules n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 24 : Module Packages n nPackage Import Basics n nPackage Import Example n nWhy Use Package Imports? n nPackage Relative Imports n nPython 3.3 Namespace Packages n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 25 : Advanced Module Topics n nModule Design Concepts n nData Hiding in Modules n nEnabling Future Language Features: __future__ n nMixed Usage Modes: __name__ and __main__ n nExample: Dual Mode Code n nChanging the Module Search Path n nThe as Extension for import and from n nExample: Modules Are Objects n nImporting Modules by Name String n nExample: Transitive Module Reloads n nModule Gotchas n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nTest Your Knowledge: Part V Exercises n nClasses and OOP n nChapter 26 : OOP: The Big Picture n nWhy Use Classes? n nOOP from 30,000 Feet n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 27 : Class Coding Basics n nClasses Generate Multiple Instance Objects n nClasses Are Customized by Inheritance n nClasses Can Intercept Python Operators n nThe World’s Simplest Python Class n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 28 : A More Realistic Example n nStep 1: Making Instances n nStep 2: Adding Behavior Methods n nStep 3: Operator Overloading n nStep 4: Customizing Behavior by Subclassing n nStep 5: Customizing Constructors, Too n nStep 6: Using Introspection Tools n nStep 7 (Final): Storing Objects in a Database n nFuture Directions n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 29 : Class Coding Details n nThe class Statement n nMethods n nInheritance n amespaces: The Conclusion n nDocumentation Strings Revisited n nClasses Versus Modules n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 30 : Operator Overloading n nThe Basics n nIndexing and Slicing: __getitem__ and __setitem__ n nIndex Iteration: __getitem__ n nIterable Objects: __iter__ and __next__ n nMembership: __contains__, __iter__, and __getitem__ n nAttribute Access: __getattr__ and __setattr__ n nString Representation: __repr__ and __str__ n nRight-Side and In-Place Uses: __radd__ and __iadd__ n nCall Expressions: __call__ n nComparisons: __lt__, __gt__, and Others n nBoolean Tests: __bool__ and __len__ n nObject Destruction: __del__ n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 31 : Designing with Classes n nPython and OOP n nOOP and Inheritance: “Is-a” Relationships n nOOP and Composition: “Has-a” Relationships n nOOP and Delegation: “Wrapper” Proxy Objects n nPseudoprivate Class Attributes n nMethods Are Objects: Bound or Unbound n nClasses Are Objects: Generic Object Factories n nMultiple Inheritance: “Mix-in” Classes n nOther Design-Related Topics n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 32 : Advanced Class Topics n nExtending Built-in Types n nThe “New Style” Class Model n ew-Style Class Changes n ew-Style Class Extensions n nStatic and Class Methods n nDecorators and Metaclasses: Part 1 n nThe super Built-in Function: For Better or Worse? n nClass Gotchas n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nTest Your Knowledge: Part VI Exercises n nExceptions and Tools n nChapter 33 : Exception Basics n nWhy Use Exceptions? n nExceptions: The Short Story n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 34 : Exception Coding Details n nThe try/except/else Statement n nThe try/finally Statement n nUnified try/except/finally n nThe raise Statement n nThe assert Statement n nwith/as Context Managers n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 35 : Exception Objects n nExceptions: Back to the Future n nWhy Exception Hierarchies? n nBuilt-in Exception Classes n nCustom Print Displays n nCustom Data and Behavior n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 36 : Designing with Exceptions n esting Exception Handlers n nException Idioms n nException Design Tips and Gotchas n nCore Language Summary n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nTest Your Knowledge: Part VII Exercises n nAdvanced Topics n nChapter 37 : Unicode and Byte Strings n nString Changes in 3.X n nString Basics n nCoding Basic Strings n nCoding Unicode Strings n nUsing 3.X bytes Objects n nUsing 3.X/2.6 bytearray Objects n nUsing Text and Binary Files n nUsing Unicode Files n nOther String Tool Changes in 3.X n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 38 : Managed Attributes n nWhy Manage Attributes? n nProperties n nDescriptors n n__getattr__ and __getattribute__ n nExample: Attribute Validations n nChapter Summary n nTest Your Knowledge: Quiz n nChapter 39 : Decorators n nWhat’s a Decorator? n nThe Basics n nCoding Function Decorators n nCoding Class Decorators n nManaging Functions and Classes Directly n nExample: “Private” and “Public” Attributes n nExample: Validating Function Arguments n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 40 : Metaclasses n nTo Metaclass or Not to Metaclass n nThe Metaclass Model n nDeclaring Metaclasses n nCoding Metaclasses n nInheritance and Instance n nMetaclass Methods n nExample: Adding Methods to Classes n nExample: Applying Decorators to Methods n nChapter Summary n nTest Your Knowledge: Quiz n nTest Your Knowledge: Answers n nChapter 41 : All Good Things n nThe Python Paradox n nWhere to Go From Here n nEncore: Print Your Own Completion Certificate! n nAppendixes n nAppendix : Installation and Configuration n nInstalling the Python Interpreter n nConfiguring Python n nFor More Help n nAppendix : The Python 3.3 Windows Launcher n nThe Unix Legacy n nThe Windows Legacy n nIntroducing the New Windows Launcher n nA Windows Launcher Tutorial n nPitfalls of the New Windows Launcher n nConclusions: A Net Win for Windows n nAppendix : Python Changes and This Book n nMajor 2.X/3.X Differences n nGeneral Remarks: 3.X Changes n nFifth Edition Python Changes: 2.7, 3.2, 3.3 n nFourth Edition Python Changes: 2.6, 3.0, 3.1 n nThird Edition Python Changes: 2.3, 2.4, 2.5 n nEarlier and Later Python Changes n nAppendix : Solutions to End-of-Part Exercises n nPart I, Getting Started n nPart II, Types and Operations n nPart III, Statements and Syntax n nPart IV, Functions and Generators n nPart V, Modules and Packages n nPart VI, Classes and OOP n nPart VII, Exceptions and Tools n nColophon n Також ви можете залишити питанная або відгук про книгу: Learning Python, 5th Edition Powerful Object-Oriented Programming, Mark Lutz