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【正在讀】【信息技術】《精通正則表達式:第3版》(美)佛瑞德(Friedl,J.E.F.)著;余晟譯
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【正在讀】【信息技術】《精通正則表達式:第3版》(美)佛瑞德(Friedl,J.E.F.)著;余晟譯
📚 中文詳細說明
《精通正則表達式(第3版)》被廣泛視為正則領域的經典教科書。作者以工程師視角,從「正則引擎如何工作」到「如何寫出高效、可維護的規則」,系統拆解了正則的底層機制與實戰技巧。與一般「語法手冊」不同,本書核心價值在於建立可預測的心智模型,讓你能推演一段正則在不同引擎上的匹配行為與性能表現。
主要內容與主題
正則基礎:字元類別、錨點、分組與捕獲、交替、量詞(貪婪/惰性/佔有式)。
進階技巧:前後顧(lookaround)、回溯與回溯控制、原子分組、命名分組、條件分支、內嵌修飾符。
引擎原理:NFA vs DFA、回溯模型、最左最短/最左最長匹配策略、性能陷阱與優化。
跨語言差異:Perl/PCRE、Java、.NET、Python、Ruby、PHP、POSIX 等風味差異與遷移策略。
Unicode 與國際化:字元邊界、規範化、大小寫摺疊、區分大小寫/多行/單行模式。
工程實踐:可維護性、可讀性(命名、註釋模式 (?x))、重構、測試與除錯、效能分析。
第3版亮點
擴充 Unicode 與國際化議題。
更完整覆蓋 Java/.NET/Perl/PCRE/Python/Ruby 等主流引擎行為差異。
新增大量效能與除錯案例、常見錯誤模式與優化策略。
為什麼值得讀
從原理出發,讓你預測一段正則的匹配路徑與耗時。
幫你寫出跨語言更可移植、可維護且高性能的正則。
對日常抽取、清洗、驗證、日誌分析、資訊安全規則、資料管線等都有直接助益。
適合讀者
從初學者到資深工程師、資料工程/數據分析、測試/QA、DevOps、SRE 與安全分析人員。
需要在多語言、多平台中穩定運用正則者。
實戰小貼士
優先使用具名分組與註釋模式提升可讀性。
避免「.* 大鍋燴」;改以明確的邊界與原子分組/佔有式量詞抑制回溯。
對熱路徑加基準測試;跨引擎前先核對風味差異(特別是 lookbehind 與 Unicode 邊界)。
📚 English Detailed Description
Mastering Regular Expressions (3rd Edition) by Jeffrey E. F. Friedl is the definitive, engineer-oriented guide to regex. Rather than a mere syntax catalog, it builds a mental model of how engines work so you can predict behavior and performance across flavors and write maintainable, portable, high-performance patterns.
Key Topics
Core syntax: character classes, anchors, grouping/captures, alternation, quantifiers (greedy/lazy/possessive).
Advanced features: lookahead/lookbehind, backtracking control, atomic groups, named groups, conditional subpatterns, inline modifiers.
Engine internals: NFA vs. DFA, backtracking, leftmost-longest vs. flavor strategies, performance pitfalls and optimizations.
Flavor differences: Perl/PCRE, Java, .NET, Python, Ruby, PHP, POSIX—what’s portable, what isn’t, and how to migrate.
Unicode & i18n: boundaries, normalization, case folding, mode flags (multiline/singleline/case-insensitive).
Engineering practice: readability (named captures, (?x)), refactoring, testing, debugging, and profiling.
What’s New in the 3rd Edition
Expanded treatment of Unicode and internationalization.
Broader coverage of Java/.NET/Perl/PCRE/Python/Ruby engine behaviors.
More performance case studies, debugging patterns, and real-world antipatterns.
Why it matters
Enables predictable reasoning about match paths and runtime cost.
Leads to portable, maintainable, and fast regexes in production systems.
Directly useful for parsing/extraction, validation, log analysis, ETL pipelines, and security rules.
Recommended for
Developers from beginner to expert, data/ML engineers, QA/automation, DevOps/SRE, and security analysts.
Anyone working across multiple programming languages and regex flavors.
Pro Tips
Prefer named captures and comment mode for clarity.
Replace “catch-all .*” with precise boundaries and atomic/possessive constructs to curb backtracking.
Benchmark hot patterns and verify flavor quirks (especially lookbehind and Unicode boundaries).
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