By Tom Christiansen and Nathan Torkington
ISBN 1-56592-243-3
First Edition, published August 1998.
(See the catalog page for this book.)
Search the text of Perl Cookbook.
Table of Contents
Copyright Page
Foreword
Preface
Chapter 1: STRINGS
Chapter 2: Numbers
Chapter 3: Dates and Times
Chapter 4: Arrays
Chapter 5: Hashes
Chapter 6: Pattern Matching
Chapter 7: File Access
Chapter 8: File Contents
Chapter 9: Directories
Chapter 10: Subroutines
Chapter 11: References and Records
Chapter 12: Packages, Libraries, and Modules
Chapter 13: Classes, Objects, and Ties
Chapter 14: Database Access
Chapter 15: User Interfaces
Chapter 16: Process Management and Communication
Chapter 17: Sockets
Chapter 18: Internet Services
Chapter 19: CGI Programming
Chapter 20: Web Automation
Index
Colophon
by Randal L. Schwartz and Tom Phoenix
ISBN 0-596-00132-0
Third Edition, published July 2001.
(See the catalog page for this book.)
the text of Learning Perl, 3rd Edition.
Table of Contents
Copyright Page
Preface
Chapter 1: Introduction
Chapter 2: Scalar Data
Chapter 3: Lists and Arrays
Chapter 4: Subroutines
Chapter 5: Hashes
Chapter 6: I/O Basics
Chapter 7: Concepts of Regular Expressions
Chapter 8: More About Regular Expressions
Chapter 9: Using Regular Expressions
Chapter 10: More Control Structures
Chapter 11: Filehandles and File Tests
Chapter 12: Directory Operations
Chapter 13: Manipulating Files and Directories
Chapter 14: Process Management
Chapter 15: STRINGS and Sorting
Chapter 16: Simple Databases
Chapter 17: Some Advanced Perl Techniques
Appendix A: Exercise Answers
Appendix B: Beyond the Llama
Index
Colophon
by Randal L. Schwartz and Tom Phoenix
ISBN 0-596-00132-0
Third Edition, published July 2001.
(See the catalog page for this book.)
Learning Perl, 3rd Edition.
Table of Contents
Copyright Page
Preface
Chapter 1: Introduction
Chapter 2: Scalar Data
Chapter 3: Lists and Arrays
Chapter 4: Subroutines
Chapter 5: Hashes
Chapter 6: I/O Basics
Chapter 7: Concepts of Regular Expressions
Chapter 8: More About Regular Expressions
Chapter 9: Using Regular Expressions
Chapter 10: More Control Structures
Chapter 11: Filehandles and File Tests
Chapter 12: Directory Operations
Chapter 13: Manipulating Files and Directories
Chapter 14: Process Management
Chapter 15: STRINGS and Sorting
Chapter 16: Simple Databases
Chapter 17: Some Advanced Perl Techniques
Appendix A: Exercise Answers
Appendix B: Beyond the Llama
Index
Colophon
The programming port of all the FP PLC’s support OPEN MEWTOCOL-COM. This is very useful when you want to monitor PLC values/bits or to set PLC values or bits via your COMPUTER. You can use any language such as Basic, C, Pascal, Assembler or even if other suppliers of PLCs can send ASCII STRINGS, they can talk to our PLCs to exchange data.
shc是一個加密shell腳本的工具.它的作用是把shell腳本轉換為一個可執行的二進制文件.
用shell腳本對系統進行自動化維護,簡單,便捷而且可移植性好.
但shell腳本是可讀寫的,很有可能會泄露敏感信息,如用戶名,密碼,路徑,IP等.
同樣,在shell腳本運行時會也泄露敏感信息.
shc是一個加密shell腳本的工具.它的作用是把shell腳本轉換為一個可執行的二進制文件.
這就很好的解決了上述問題.
tar zxvf shc-3.8.tgz
cd shc-3.8
make test
make
make test
make STRINGS
make install 這一步需要root權限
使用方法:
shc -r -f script-name 注意:要有-r選項, -f 后跟要加密的腳本名.
運行后會生成兩個文件,script-name.x 和 script-name.x.c
script-name.x是加密后的可執行的二進制文件.
./script-name 即可運行.
script-name.x.c是生成script-name.x的原文件(c語言)
PTypes (C++ Portable Types Library) is a simple alternative to the STL that includes multithreading and networking. It defines dynamic STRINGS, variants, character sets, lists and other basic data types along with threads, synchronization objects, IP sockets and named pipes. PTypes also offers message queues as an alternative method of thread synchronization. Its main `target audience is developers of complex network daemons, robots or non-visual client/server applications of any kind
an approach for capturing similarity between words that was concerned with the syntactic similarity of two STRINGS. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two STRINGS. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
內存管理程序，功能與FASTMM相似，PLEASE NOTE: There are two ways to install BigBrain. You may use the
memory manager code natively compiled into your EXE or you can use
an included external DLL which will allow you to share memory across
multiple DLLs with one central place for memory management. Using the DLL
allows your application to share STRINGS, and serves the same purpose
as the ShareMem unit included with Delphi. BigBrainShareMem.dll should
be 100％ compatible with the DelphiMM.dll and could even simply be renamed
to DelphiMM.dll to simplify deployment.
CppReference
對于c/c++的詳盡說明
C/C++ Reference
General C/C++
Pre-processor commands
Operator Precedence
Escape Sequences
ASCII Chart
Data Types
Keywords
Standard C Library
Standard C I/O
Standard C String & Character
Standard C Math
Standard C Time & Date
Standard C Memory
Other standard C functions
All C Functions
C++
C++ I/O
C++ STRINGS
C++ String Streams
Miscellaneous C++
C++ Standard Template Library
C++ Algorithms
C++ Vectors
C++ Double-Ended Queues
C++ Lists
C++ Priority Queues
C++ Queues
C++ Stacks
C++ Sets
C++ Multisets
C++ Maps
C++ Multimaps
C++ Bitsets
Iterators
All C++ Functions
