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Powerful Python
Powerful Python
상세정보
- 자료유형
- 전자책 국외
- 최종처리일시
- 20260202073946.0
- ISBN
- 9781098175672 (electronic bk.)
- ISBN
- 9781098175702
- 저자명
- Maxwell, Aaron.
- 서명/저자
- Powerful Python
- 판사항
- 1st ed.
- 형태사항
- 1 online resource (200 pages)
- 내용주기
- 완전내용Intro -- Copyright -- Table of Contents -- Preface -- Who This Book Is For -- The Two Levels of Learning -- Our Strategy in This Book -- What's Not Covered -- Getting the Most Out of This Book -- Conventions Used in This Book -- Using Code Examples -- O'Reilly Online Learning -- How to Contact Us -- Acknowledgments -- Chapter 1. Scaling with Generators -- Iteration in Python -- Generator Functions -- Advancing next() -- Converting to a Generator Function -- Do You Need Generators? -- Generator Patterns and Scalable Composability -- Text Lines to Dicts -- Composable Interfaces -- Fanning Out -- Fanning In -- Python Is Filled with Iterators -- The Iterator Protocol -- Conclusion -- Chapter 2. Creating Collections with Comprehensions -- List Comprehensions -- Formatting for Readability (and More) -- Multiple Sources and Filters -- Independent Clauses -- Multiple Filters -- Comprehensions and Generators -- Dictionaries, Sets, and Tuples -- Conclusion -- Chapter 3. Advanced Functions -- Accepting and Passing Variable Arguments -- Argument Unpacking -- Variable Keyword Arguments -- Keyword Unpacking -- Combining Positional and Keyword Arguments -- Functions as Objects -- Key Functions in Python -- Conclusion -- Chapter 4. Decorators -- The Basic Decorator -- Generic Decorators -- Decorating Methods -- Data in Decorators -- Accessing Inner Data -- Nonlocal Decorator State -- Decorators That Take Arguments -- Class-Based Decorators -- Implementing Class-Based Decorators -- Benefits of Class-Based Decorators -- Decorators for Classes -- Conclusion -- Chapter 5. Exceptions and Errors -- The Basic Idea -- Handling Exceptions -- Exceptions for Flow Control -- Finally Blocks -- Dictionary Exceptions -- Exceptions Are Objects -- Raising Exceptions -- Catching and Re-Raising -- The Most Diabolical Python Antipattern -- Conclusion.
- 내용주기
- 완전내용Chapter 6. Classes and Objects: Beyond the Basics -- Properties -- Property Patterns -- Validation -- Properties and Refactoring -- The Factory Patterns -- Alternative Constructors: The Simple Factory -- Dynamic Type: The Factory Method Pattern -- The Observer Pattern -- The Simple Observer -- A Pythonic Refinement -- Several Channels -- Magic Methods -- Rebelliously Misusing Magic Methods -- Conclusion -- Chapter 7. Automated Testing -- What Is Test-Driven Development? -- Unit Tests and Simple Assertions -- Fixtures and Common Test Setup -- Asserting Exceptions -- Using Subtests -- Conclusion -- Chapter 8. Module Organization -- Spawning a Module -- Creating Separate Libraries -- Multifile Modules -- Import Syntax and Version Control -- Nested Submodule Structure -- Antipattern Warning -- Import Side Effects -- Conclusion -- Chapter 9. Logging in Python -- The Basic Interface -- Log Levels -- Why Do We Have Log Levels? -- Configuring the Basic Interface -- Passing Arguments -- Beyond Basic: Loggers -- Log Destinations: Handlers and Streams -- Logging to Multiple Destinations -- Record Layout with Formatters -- Conclusion -- Parting Words -- Index -- About the Author -- Colophon.
- 기타형태저록
- Print version / Maxwell, AaronPowerful Python. Sebastopol : O'Reilly Media, Incorporated,c2024. 9781098175702
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■338 ▼aonline resource▼bcr▼2rdacarrier
■5050 ▼aIntro -- Copyright -- Table of Contents -- Preface -- Who This Book Is For -- The Two Levels of Learning -- Our Strategy in This Book -- What's Not Covered -- Getting the Most Out of This Book -- Conventions Used in This Book -- Using Code Examples -- O'Reilly Online Learning -- How to Contact Us -- Acknowledgments -- Chapter 1. Scaling with Generators -- Iteration in Python -- Generator Functions -- Advancing next() -- Converting to a Generator Function -- Do You Need Generators? -- Generator Patterns and Scalable Composability -- Text Lines to Dicts -- Composable Interfaces -- Fanning Out -- Fanning In -- Python Is Filled with Iterators -- The Iterator Protocol -- Conclusion -- Chapter 2. Creating Collections with Comprehensions -- List Comprehensions -- Formatting for Readability (and More) -- Multiple Sources and Filters -- Independent Clauses -- Multiple Filters -- Comprehensions and Generators -- Dictionaries, Sets, and Tuples -- Conclusion -- Chapter 3. Advanced Functions -- Accepting and Passing Variable Arguments -- Argument Unpacking -- Variable Keyword Arguments -- Keyword Unpacking -- Combining Positional and Keyword Arguments -- Functions as Objects -- Key Functions in Python -- Conclusion -- Chapter 4. Decorators -- The Basic Decorator -- Generic Decorators -- Decorating Methods -- Data in Decorators -- Accessing Inner Data -- Nonlocal Decorator State -- Decorators That Take Arguments -- Class-Based Decorators -- Implementing Class-Based Decorators -- Benefits of Class-Based Decorators -- Decorators for Classes -- Conclusion -- Chapter 5. Exceptions and Errors -- The Basic Idea -- Handling Exceptions -- Exceptions for Flow Control -- Finally Blocks -- Dictionary Exceptions -- Exceptions Are Objects -- Raising Exceptions -- Catching and Re-Raising -- The Most Diabolical Python Antipattern -- Conclusion.
■5058 ▼aChapter 6. Classes and Objects: Beyond the Basics -- Properties -- Property Patterns -- Validation -- Properties and Refactoring -- The Factory Patterns -- Alternative Constructors: The Simple Factory -- Dynamic Type: The Factory Method Pattern -- The Observer Pattern -- The Simple Observer -- A Pythonic Refinement -- Several Channels -- Magic Methods -- Rebelliously Misusing Magic Methods -- Conclusion -- Chapter 7. Automated Testing -- What Is Test-Driven Development? -- Unit Tests and Simple Assertions -- Fixtures and Common Test Setup -- Asserting Exceptions -- Using Subtests -- Conclusion -- Chapter 8. Module Organization -- Spawning a Module -- Creating Separate Libraries -- Multifile Modules -- Import Syntax and Version Control -- Nested Submodule Structure -- Antipattern Warning -- Import Side Effects -- Conclusion -- Chapter 9. Logging in Python -- The Basic Interface -- Log Levels -- Why Do We Have Log Levels? -- Configuring the Basic Interface -- Passing Arguments -- Beyond Basic: Loggers -- Log Destinations: Handlers and Streams -- Logging to Multiple Destinations -- Record Layout with Formatters -- Conclusion -- Parting Words -- Index -- About the Author -- Colophon.
■588 ▼aDescription based on publisher supplied metadata and other sources.
■590 ▼aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2026. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
■655 4▼aElectronic books.
■77608▼iPrint version▼aMaxwell, Aaron▼tPowerful Python▼dSebastopol : O'Reilly Media, Incorporated,c2024▼z9781098175702
■7972 ▼aProQuest (Firm)
■85640▼uhttps://ebookcentral.proquest.com/lib/baekseok-ebooks/detail.action?docID=31771518▼zClick to View
