Perl 6 Essentials
Perl 6 Essentials
ISBN: 0596004990
EAN: 2147483647
EAN: 2147483647
Year: 2003
Pages: 79
Pages: 79
- Perl 6 Essentials
- Table of Contents
- Copyright
- Preface
- How This Book Is Organized
- Font Conventions
- We d Like to Hear from You
- Acknowledgments
- Chapter 1. Project Overview
- 1.1 The Birth of Perl 6
- 1.2 In the Beginning . . .
- 1.3 The Continuing Mission
- Chapter 2. Project Development
- 2.1 Language Development
- 2.2 Parrot Development
- Chapter 3. Design Philosophy
- 3.1 Linguistic and Cognitive Considerations
- 3.2 Architectural Considerations
- Chapter 4. Syntax
- 4.1 Variables
- 4.2 Operators
- 4.3 Control Structures
- 4.4 Subroutines
- 4.5 Classes and Objects
- 4.6 Grammars and Rules
- Chapter 5. Parrot Internals
- 5.1 Core Design Principles
- 5.2 Parrot s Architecture
- 5.3 The Interpreter
- 5.4 IO, Events, Signals, and Threads
- 5.5 Objects
- 5.6 Advanced Features
- 5.7 Conclusion
- Chapter 6. Parrot Assembly Language
- 6.1 Getting Started
- 6.2 Basics
- 6.3 Working with PMCs
- 6.4 Flow Control
- 6.5 Stacks and Register Frames
- 6.6 Lexicals and Globals
- 6.7 Subroutines
- 6.8 Writing Tests
- 6.9 PASM Quick Reference
- Chapter 7. The Intermediate Code Compiler
- 7.1 Getting Started
- 7.2 Basics
- 7.3 Flow Control
- 7.4 Subroutines
- 7.5 IMCC Command-Line Options
- 7.6 IMCC Quick Reference
- Colophon
- index
- index_SYMBOL
- index_A
- index_B
- index_C
- index_D
- index_E
- index_F
- index_G
- index_H
- index_I
- index_J
- index_K
- index_L
- index_M
- index_N
- index_O
- index_P
- index_Q
- index_R
- index_S
- index_T
- index_U
- index_V
- index_W
- index_X
Perl 6 Essentials
ISBN: 0596004990
EAN: 2147483647
EAN: 2147483647
Year: 2003
Pages: 79
Pages: 79
- ERP Systems Impact on Organizations
- ERP System Acquisition: A Process Model and Results From an Austrian Survey
- The Effects of an Enterprise Resource Planning System (ERP) Implementation on Job Characteristics – A Study using the Hackman and Oldham Job Characteristics Model
- Data Mining for Business Process Reengineering
- A Hybrid Clustering Technique to Improve Patient Data Quality