시작 일자/마지막 업데이트 일자 ¶
- 2014/04/30 ~ 2014/05/01
- 어색하거나 번역하기 어려운 용어들은 최대한 적절하다고 판단되는 표현법으로 의역, 또는 음차번역했습니다.
- 번역 피드백 받습니다.
목차 ¶
- 흥미 돋구기
- 파이썬 번역기 사용하기
- 2.1.1 번역기 호출
- 2.1.2 인터렉티브 모드
- 2.2 번역기와 환경
- 2.2.1 에러 다루기
- 2.2.2 실행형 파이썬 스크립트
- 2.2.3 소스코드 인코딩
- 2.2.4 인터렉티브형 시작파일
- 2.2.5 커스텀화 모듈
- 2.2.1 에러 다루기
- 2.1.1 번역기 호출
- 파이썬의 일반적인 사용
- 3.1 파이썬을 계산기로써 사용
- 3.1.1 숫자
- 3.1.2 스트링(문장)
- 3.1.3 유니코드 스트링
- 3.1.4 리스트
- 3.1.1 숫자
- 3.2 프로그래밍을 위한 첫 시작
- 3.1 파이썬을 계산기로써 사용
- 여러가지 제어/반복문
- 4.1 if문
- 4.2 for문
- 4.3 range() 함수
- 4.4 break와 continue문, 반복문 내에 else절(clause:절)
- 4.5 pass문
- 4.6 함수 정의
- 4.7 함수 정의 심화
- 4.7.1 디폴트 함수 인자
- 4.7.2 키워드 인자
- 4.7.3 임의 인자 목록
- 4.7.4 인자 목록 풀기
- 4.7.5 람다 익스프레션
- 4.7.6 문서화 스트링
- 4.7.1 디폴트 함수 인자
- 4.8 추가: 코딩 스타일
- 4.1 if문
- 자료구조
- 5.1 리스트 심화
- 5.1.1 스택형
- 5.1.2 큐형
- 5.1.3 함수형 프로그래밍 툴
- 5.1.4
- 5.1.1 스택형
- 5.1 리스트 심화
원본 목차 ¶
1. Whetting Your Appetite
2. Using the Python Interpreter
2.1. Invoking the Interpreter
2.1.1. Argument Passing
2.1.2. Interactive Mode
2.2. The Interpreter and Its Environment
2.2.1. Error Handling
2.2.2. Executable Python Scripts
2.2.3. Source Code Encoding
2.2.4. The Interactive Startup File
2.2.5. The Customization Modules
3. An Informal Introduction to Python
3.1. Using Python as a Calculator
3.1.1. Numbers
3.1.2. Strings
3.1.3. Unicode Strings
3.1.4. Lists
3.2. First Steps Towards Programming
4. More Control Flow Tools
4.1. if Statements
4.2. for Statements
4.3. The range() Function
4.4. break and continue Statements, and else Clauses on Loops
4.5. pass Statements
4.6. Defining Functions
4.7. More on Defining Functions
4.7.1. Default Argument Values
4.7.2. Keyword Arguments
4.7.3. Arbitrary Argument Lists
4.7.4. Unpacking Argument Lists
4.7.5. Lambda Expressions
4.7.6. Documentation Strings
4.8. Intermezzo: Coding Style
5. Data Structures
5.1. More on Lists
5.1.1. Using Lists as Stacks
5.1.2. Using Lists as Queues
5.1.3. Functional Programming Tools
5.1.4. List Comprehensions
5.1.4.1. Nested List Comprehensions
5.2. The del statement
5.3. Tuples and Sequences
5.4. Sets
5.5. Dictionaries
5.6. Looping Techniques
5.7. More on Conditions
5.8. Comparing Sequences and Other Types
6. Modules
6.1. More on Modules
6.1.1. Executing modules as scripts
6.1.2. The Module Search Path
6.1.3. “Compiled” Python files
6.2. Standard Modules
6.3. The dir() Function
6.4. Packages
6.4.1. Importing * From a Package
6.4.2. Intra-package References
6.4.3. Packages in Multiple Directories
7. Input and Output
7.1. Fancier Output Formatting
7.1.1. Old string formatting
7.2. Reading and Writing Files
7.2.1. Methods of File Objects
7.2.2. Saving structured data with json
8. Errors and Exceptions
8.1. Syntax Errors
8.2. Exceptions
8.3. Handling Exceptions
8.4. Raising Exceptions
8.5. User-defined Exceptions
8.6. Defining Clean-up Actions
8.7. Predefined Clean-up Actions
9. Classes
9.1. A Word About Names and Objects
9.2. Python Scopes and Namespaces
9.3. A First Look at Classes
9.3.1. Class Definition Syntax
9.3.2. Class Objects
9.3.3. Instance Objects
9.3.4. Method Objects
9.4. Random Remarks
9.5. Inheritance
9.5.1. Multiple Inheritance
9.6. Private Variables and Class-local References
9.7. Odds and Ends
9.8. Exceptions Are Classes Too
9.9. Iterators
9.10. Generators
9.11. Generator Expressions
10. Brief Tour of the Standard Library
10.1. Operating System Interface
10.2. File Wildcards
10.3. Command Line Arguments
10.4. Error Output Redirection and Program Termination
10.5. String Pattern Matching
10.6. Mathematics
10.7. Internet Access
10.8. Dates and Times
10.9. Data Compression
10.10. Performance Measurement
10.11. Quality Control
10.12. Batteries Included
11. Brief Tour of the Standard Library – Part II
11.1. Output Formatting
11.2. Templating
11.3. Working with Binary Data Record Layouts
11.4. Multi-threading
11.5. Logging
11.6. Weak References
11.7. Tools for Working with Lists
11.8. Decimal Floating Point Arithmetic
12. What Now?
13. Interactive Input Editing and History Substitution
13.1. Line Editing
13.2. History Substitution
13.3. Key Bindings
13.4. Alternatives to the Interactive Interpreter
14. Floating Point Arithmetic: Issues and Limitations
14.1. Representation Error
2. Using the Python Interpreter
2.1. Invoking the Interpreter
2.1.1. Argument Passing
2.1.2. Interactive Mode
2.2. The Interpreter and Its Environment
2.2.1. Error Handling
2.2.2. Executable Python Scripts
2.2.3. Source Code Encoding
2.2.4. The Interactive Startup File
2.2.5. The Customization Modules
3. An Informal Introduction to Python
3.1. Using Python as a Calculator
3.1.1. Numbers
3.1.2. Strings
3.1.3. Unicode Strings
3.1.4. Lists
3.2. First Steps Towards Programming
4. More Control Flow Tools
4.1. if Statements
4.2. for Statements
4.3. The range() Function
4.4. break and continue Statements, and else Clauses on Loops
4.5. pass Statements
4.6. Defining Functions
4.7. More on Defining Functions
4.7.1. Default Argument Values
4.7.2. Keyword Arguments
4.7.3. Arbitrary Argument Lists
4.7.4. Unpacking Argument Lists
4.7.5. Lambda Expressions
4.7.6. Documentation Strings
4.8. Intermezzo: Coding Style
5. Data Structures
5.1. More on Lists
5.1.1. Using Lists as Stacks
5.1.2. Using Lists as Queues
5.1.3. Functional Programming Tools
5.1.4. List Comprehensions
5.1.4.1. Nested List Comprehensions
5.2. The del statement
5.3. Tuples and Sequences
5.4. Sets
5.5. Dictionaries
5.6. Looping Techniques
5.7. More on Conditions
5.8. Comparing Sequences and Other Types
6. Modules
6.1. More on Modules
6.1.1. Executing modules as scripts
6.1.2. The Module Search Path
6.1.3. “Compiled” Python files
6.2. Standard Modules
6.3. The dir() Function
6.4. Packages
6.4.1. Importing * From a Package
6.4.2. Intra-package References
6.4.3. Packages in Multiple Directories
7. Input and Output
7.1. Fancier Output Formatting
7.1.1. Old string formatting
7.2. Reading and Writing Files
7.2.1. Methods of File Objects
7.2.2. Saving structured data with json
8. Errors and Exceptions
8.1. Syntax Errors
8.2. Exceptions
8.3. Handling Exceptions
8.4. Raising Exceptions
8.5. User-defined Exceptions
8.6. Defining Clean-up Actions
8.7. Predefined Clean-up Actions
9. Classes
9.1. A Word About Names and Objects
9.2. Python Scopes and Namespaces
9.3. A First Look at Classes
9.3.1. Class Definition Syntax
9.3.2. Class Objects
9.3.3. Instance Objects
9.3.4. Method Objects
9.4. Random Remarks
9.5. Inheritance
9.5.1. Multiple Inheritance
9.6. Private Variables and Class-local References
9.7. Odds and Ends
9.8. Exceptions Are Classes Too
9.9. Iterators
9.10. Generators
9.11. Generator Expressions
10. Brief Tour of the Standard Library
10.1. Operating System Interface
10.2. File Wildcards
10.3. Command Line Arguments
10.4. Error Output Redirection and Program Termination
10.5. String Pattern Matching
10.6. Mathematics
10.7. Internet Access
10.8. Dates and Times
10.9. Data Compression
10.10. Performance Measurement
10.11. Quality Control
10.12. Batteries Included
11. Brief Tour of the Standard Library – Part II
11.1. Output Formatting
11.2. Templating
11.3. Working with Binary Data Record Layouts
11.4. Multi-threading
11.5. Logging
11.6. Weak References
11.7. Tools for Working with Lists
11.8. Decimal Floating Point Arithmetic
12. What Now?
13. Interactive Input Editing and History Substitution
13.1. Line Editing
13.2. History Substitution
13.3. Key Bindings
13.4. Alternatives to the Interactive Interpreter
14. Floating Point Arithmetic: Issues and Limitations
14.1. Representation Error
