Learning regular expressions
著者
書誌事項
Learning regular expressions
Addison-Wesley, c2018
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
内容説明・目次
内容説明
Learn to use one of the most powerful text processing and manipulation tools available
Regular expression experts have long been armed with an incredibly powerful tool, one that can be used to perform all sorts of sophisticated text processing and manipulation in just about every language and on every platform. That's the good news. The bad news is that for too long, regular expressions have been the exclusive property of only the most tech savvy. Until now.
Ben Forta's Learning Regular Expressions teaches you the regular expressions that you really need to know, starting with simple text matches and working up to more complex topics, including the use of backreferences, conditional evaluation, and look-ahead processing. You'll learn what you can use, and you'll learn it methodically, systematically, and simply.
Regular expressions are nowhere near as complex as they appear to be at first glance. All it takes is a clear understanding of the problem being solved and how to leverage regular expressions to solve them.
Read and understand regular expressions
Use literal text and metacharacters to build powerful search patterns
Take advantage of advanced regular expression features, including lookahead and backreferences
Perform powerful search-and-replace operations in all major professional editing tools
Add sophisticated form and text processing to web applications
Search for files using command-line tools like grep and egrep
Use regular expressions in programming languages like JavaScript, Java, PHP, Python, Microsoft .NET, and C#, as well as in DBMSs including MySQL and Oracle
Work with phone numbers, postal codes, social security numbers, IP addresses, URLs, email addresses, and credit card numbers
Contents at a Glance 1 Introducing Regular Expressions 2 Matching Single Characters 3 Matching Sets of Characters 4 Using Metacharacters 5 Repeating Matches 6 Position Matching 7 Using Subexpressions 8 Using Backreferences 9 Looking Ahead and Behind 10 Embedding Conditions 11 Regular Expression Solutions to Common Problems Appendix A Regular Expressions in Popular Applications and Languages
目次
Introduction 1
Chapter 1 Introducing Regular Expressions 3
Understanding the Need 3
How Regular Expressions Are Used 4
RegEx Searches 4
RegEx Replaces 5
So What Exactly Is a Regular Expression? 5
Using Regular Expressions 6
Before You Get Started 7
Summary 7
Chapter 2 Matching Single Characters 9
Matching Literal Text 9
How Many Matches? 10
Handling Case Sensitivity 10
Matching Any Characters 11
Matching Special Characters 14
Summary 16
Chapter 3 Matching Sets of Characters 17
Matching One of Several Characters 17
Using Character Set Ranges 20
"Anything But" Matching 23
Summary 24
Chapter 4 Using Metacharacters 25
Escaping Revisited 25
Matching Whitespace Characters 28
Matching Specific Character Types 29
Matching Digits (and Nondigits) 29
Matching Alphanumeric Characters (and Nonalphanumeric Characters) 31
Matching Whitespace (and Nonwhitespace) 32
Specifying Hexadecimal or Octal Values 32
Using POSIX Character Classes 33
Summary 35
Chapter 5 Repeating Matches 37
How Many Matches? 37
Matching One or More Characters 38
Matching Zero or More Characters 40
Matching Zero or One Characters 42
Using Intervals 44
Exact Interval Matching 44
Range Interval Matching 45
"At Least" Interval Matching 46
Preventing Over Matching 48
Summary 49
Chapter 6 Position Matching 51
Using Boundaries 51
Using Word Boundaries 52
Defining String Boundaries 54
Using Multiline Mode 57
Summary 58
Chapter 7 Using Subexpressions 59
Understanding Subexpressions 59
Grouping with Subexpressions 60
Nesting Subexpressions 63
Summary 66
Chapter 8 Using Backreferences 67
Understanding Backreferences 67
Matching with Backreferences 70
Performing Replace Operations 73
Converting Case 75
Summary 76
Chapter 9 Looking Ahead and Behind 77
Introducing Lookaround 77
Looking Ahead 78
Looking Behind 80
Combining Lookahead and Lookbehind 82
Negating Lookaround 83
Summary 85
Chapter 10 Embedding Conditions 87
Why Embed Conditions? 87
Using Conditions 88
Backreference Conditions 88
Lookaround Conditions 90
Summary 92
Chapter 11 Regular Expression Solutions to Common Problems 93
North American Phone Numbers 93
U.S. ZIP Codes 95
Canadian Postal Codes 95
United Kingdom Postcodes 96
U.S. Social Security Numbers 97
IP Addresses 98
URLs 98
Complete URLs 99
Email Addresses 100
HTML Comments 101
JavaScript Comments 102
Credit Card Numbers 103
Summary 107
Appendix A Regular Expressions in Popular Applications and Languages 109
grep 109
Java 110
JavaScript 111
Microsoft .NET 111
Microsoft SQL Server T-SQL 112
Microsoft Visual Studio .NET 112
MySQL 113
Oracle PL/SQL 114
Perl 114
PHP 115
Python 116
9780134757063 TOC 4/5/2018
「Nielsen BookData」 より