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Language Implementation Patterns: Create Your Own Domain-Specific and General Programming Languages (Pragmatic Programmers) 1st Edition
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Knowing how to create domain-specific languages (DSLs) can give you a huge productivity boost. Instead of writing code in a general-purpose programming language, you can first build a custom language tailored to make you efficient in a particular domain.
The key is understanding the common patterns found across language implementations. Language Design Patterns identifies and condenses the most common design patterns, providing sample implementations of each.
The pattern implementations use Java, but the patterns themselves are completely general. Some of the implementations use the well-known ANTLR parser generator, so readers will find this book an excellent source of ANTLR examples as well. But this book will benefit anyone interested in implementing languages, regardless of their tool of choice. Other language implementation books focus on compilers, which you rarely need in your daily life. Instead, Language Design Patterns shows you patterns you can use for all kinds of language applications.
You'll learn to create configuration file readers, data readers, model-driven code generators, source-to-source translators, source analyzers, and interpreters. Each chapter groups related design patterns and, in each pattern, you'll get hands-on experience by building a complete sample implementation. By the time you finish the book, you'll know how to solve most common language implementation problems.
- ISBN-10193435645X
- ISBN-13978-1934356456
- Edition1st
- PublisherPragmatic Bookshelf
- Publication dateFebruary 9, 2010
- LanguageEnglish
- Dimensions7.54 x 0.75 x 9.1 inches
- Print length374 pages
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The Pragmatic Programmers publishes hands-on, practical books on classic and cutting-edge software development and engineering management topics. We help professionals solve real-world problems, hone their skills, and advance their careers.
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""Throw away your compiler theory book! Terence Parr shows how to write practical parsers, translators, interpreters, and other language applications using modern tools and design patterns. Whether you're designing your own DSL or mining existing code for bugs or gems, you'll find example code and suggested patterns in this clearly written book about all aspects of parsing technology.""--Guido van Rossum, Creator of the Python language
""This text is excellent. The exposition plus the examples makes otherwise complex ideas very clear and accessible. Well done!""--Tom Nurkkala, Associate Professor, Computer Science and Engineering, Taylor University
About the Author
Product details
- Publisher : Pragmatic Bookshelf; 1st edition (February 9, 2010)
- Language : English
- Paperback : 374 pages
- ISBN-10 : 193435645X
- ISBN-13 : 978-1934356456
- Item Weight : 1.57 pounds
- Dimensions : 7.54 x 0.75 x 9.1 inches
- Best Sellers Rank: #1,199,776 in Books (See Top 100 in Books)
- #96 in Compiler Design
- #114 in Software Programming Compilers
- #1,426 in Software Development (Books)
- Customer Reviews:
About the author
![Terence Parr](https://cdn.statically.io/img/m.media-amazon.com/images/I/71lrEFsgASL._SY600_.jpg)
Terence Parr is a professor of computer science and was founding director of the MS in Analytics program at the University of San Francisco, where he continues to work on his ANTLR parser generator (http://www.antlr.org) and template engine (http://www.stringtemplate.org). Terence has consulted for and held various technical positions at companies such as IBM, Lockheed Missiles and Space, NeXT, and Renault Automation. Terence holds a Ph.D. in computer engineering from Purdue University and was a postdoctoral fellow at the Army High-Performance Computing Research Center at the University of Minnesota.
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Customer Reviews, including Product Star Ratings help customers to learn more about the product and decide whether it is the right product for them.
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Learn more how customers reviews work on AmazonCustomers say
Customers find the book didactic, concise, and well organized. They also appreciate the practical attitude and clear code examples.
AI-generated from the text of customer reviews
Customers find the book complex, but say it's well-written and practical. They also appreciate the good theoretical foundation and precise explanations.
"...LIP is the perfect mix of theory and practice. LIP is the working ACID I did not write...." Read more
"...Even if one will not use ANTLR, the books are valuable for their overview and in depth discussion of writing compilers and parsers...." Read more
"...This book is very well written and practical, less theory (which I already have a good foundation in), more implementation. It is concise and clear...." Read more
"This book gives some good theoretical foundation for programming language implementation patterns, but many of the examples are tightly coupled to..." Read more
Customers find the book concise, clear, and organized. They also say it's informative, useful, and not math intensive.
"...It is well enough organized that it is possible to use the book for very specific tasks and to jump around quite a bit -- though I would certainly..." Read more
"...them I doubt you will ever find this book useful, not mentioning, well written." Read more
"...I prefer looking at actual code. This book is very well written and practical, less theory (which I already have a good foundation in), more..." Read more
"...aspects of Compilers and other Language Applications into easy to understand patterns. Very useful...." Read more
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One weakness I noticed that was not helped by Kindle was that there are a fair number of acronyms. Most of the time, they are defined and then used, but it took me quite some effort to find exactly what "IR" (intermediate representation) meant; though the context provided tentative hints. Kindle's search engine proved little help with these acronyms on several occasions -- particularly I remember that one, but there were others. I found the exact definition in a later chapter by the hard slog.
For the serious student or researcher who has the time to study the book more methodically, I'd recommend the printed version as almost all of these e-readers are still rather poor substitutes for hard paper and the single strongest advantage they might offer (the electronic search engine) is often unhelpful. It is also hard to find your comments written on the margins because all you are granted is a small speck in the text that you'll never find when searching back over the material. Dropping this one star is mostly due to the frustrations I had with Kindle and maybe not entirely the fault of the author. On the other hand, being available in electronic form was something I appreciated.
These failures taught me an important lesson. ACID1 was created with no prior knowledge of language building whatsoever. ACID2 was, however, created with a surplus of theories (the Dragon Book, anyone?). I needed a middle ground.
I found Language Programming Patterns by Terence Parr about a month ago. LIP, if you may, since we are quite pleased with K&R, CLRS, TAOCP, etc... When I picked up LIP, my internal alarm went off, I felt it was going to be a good read.
Guido van Rossum, creator of Python (Python forever!), commented: Throw away your compiler theory book! So I knew. I also found out that professor Parr has been teaching language applications programming for years. Then I knew. The book itself came from the famous Pragmatic Bookshelf. And I knew: LIP would be a good read.
The book did not disappoint me, and will not disappoint any programmer with interests in language applications. LIP is the perfect mix of theory and practice. LIP is the working ACID I did not write.
Parr uses Java for his examples. I confess that I barely know Java. But half the patterns I have translated to Python while reading. This wouldn't have been possible without the great explanations in the book.
Each pattern has a Purpose, a Discussion, an Implementation, and Related Pattern section. Patterns are grouped together in chapters in such a way that when you've completed the chapter, you have a complete skill.
In chapter 2, Basic Patterns, for instance, I reminisced strange symbols like LA, LL(1), LL(k). Only this time they made actual sense and were put in real world examples. Professor Parr explained why you don't need LL(k) for, say, a simple list ([a,b,c]) parser. Programmers will often go miles to accomplish this.
Parr uses his popular tool ANTLR a lot in the text and this might annoy some. It is also my only regret. In his defense, good alternatives to ANTLR are scarce. Oh well. I, who have scant knowledge of Java, completed the book. So should any programmer.
There are 31 patterns in LIP. You dont have to know them all. Just where and how to find them. Chapter 10, Building Bytecode Interpreters, is easily my favorite. For long I wanted to learn how bytecode interpreters work. Chapter 10 discusses two patterns: Stack-Based Bytecode Interpreters and Register-Based Bytecode Interpreters. Popular Lua uses a Register-Based Bytecode Interpreter for example. Python (Python forever!) is Stack-Based.
Chapter 13, Putting It All Together, is the ice cream. In that chapter, Parr shows how to put your patterns together to fix real world problems: finding patterns in proteins structure, building a scripting language to generate 3D scenes, and fixing, sorry I meant tweaking, Java. Needless to say, Chapter 13 is the chapter you must not skip.
I believe chapters 1 through 6 are the core. The matter. The substance, like my chemistry professor used to say. Patterns from these first six chapters are all you need to build a simple language. We are talking no data aggregation and object orientation, right? With Chapter 13 (the one I just discussed), that's seven chapters not to skip.
Fellow dynamically typed languages lovers: Chapter 8, Enforcing Static Typing Rule, will fill our faces with smile and brighten our day, let's not skip it. It is essential knowledge.
Professor Parr has written a classic here. The book deserves a place on the golden shelf. I once asked Brian W. Kernighan what constitutes a good book. And the reply was insightful.
Kernighan wrote that he believes in books that are authoritative, are written by authors who love what they are writing about, instead of what is hot. He added that books should be pragmatic and useful rather than theoretical and philosophical.
Thank you professor Parr, for writing LIP.
The book discusses many aspects of compiler technology and interpreter technology. It will help you write a compiler or interpreter using ANTLR3. It goes in depth into the many things you need to know such as - LL(1), LL(k), and LL(*) parsers and symbol tools.
The book instructs one in how to use ANTLR - which is the lexer/parser generator which the author of the book makes freely available. ANTLR is the most powerful generator on the market today and used by many companies such as Oracle.
To get the most from this informative book, you should also buy "The Definitive ANLTR 4 Reference" which Amazon also sells.
Parr is a genius. He has produced the definitive parser generator and the definitive books that enable one to use this generator. Even if one will not use ANTLR, the books are valuable for their overview and in depth discussion of writing compilers and parsers.
Note that the book does not discuss some things necessary for writing a world class compiler such as register allocation. I'm using it to write translators from one language to another and in that application its advice is spot on and extremely helpful.
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The book can roughly be considered in two halves (not equal in page count) - the first half is about parsing the language to some type of intermediate representation (IR) and the second half is doing something with that IR.
First, the negative(s): The first half of the book has some serious issues with being relevant to the proposed target audience because the focus is basically on using automated grammer tools (ANTLR) for parsing and going to a generic tree format for the IR. Most people writing simple file parsers for things like JSON, XML etc. are unlikely to ever use a tool like ANTLR (even tho it is a wonderful tool) for a whole slew of reasons including:
* The need to learn the ANTLR grammar. Most developers haven't spent much time thinking about formal grammars since University (i.e. BnF) which means you pray the language applications nut on your team who integrated ANTLR into your commercial code base doesn't quit tomorrow.
* The performance and memory overheads of doing multi-stage parsing / IR generation. Parsing something like a GB's worth of XML can take minutes even on a modern computer / smart phone etc.
* The complexity of aiming for a low-level abstract IR. Abstract IRs might be helpful for porting a language to multiple backends, but realistically very few application developers have this requirement. Thus a specialized and high level IR can be far more practical to work with.
* Most file format languages etc. have to deal with malformed input. For example, real-world HTML parsing is as much \about correcting missing tags, conflicting version features usage etc. than getting from a perfect input to an abstract IR. It's pretty hard to address this with any formal grammar parser generator. Yes you could try to preprocess your input before going with your generated parser, but trust me, you'll just end up writing a partial parser implementation and adding extra complexity as a result.
So that makes the first half of the book more relevant to maybe students or hobbyists interested in experimenting with language applications, but less relevant to the average application developer. What isn't ANTLR in the first half is just second year CS material for the most part.
The second half of the book is more practical and better suited to the proposed audience (starting with approx. Ch6 "Tracking and Identifying Program Symbols") because it loses the the focus on a single approach and mostly surveys a wide variety of things you can do with your IR after parsing as well as addressing common challenges like enforcing static types. The interpreter introductions are a nice starting point for someone who has to implement a simple scripting language.
We have pretty slim pickings for books on language applications that aren't meant to be CS course textbooks. As such, this book gets a modest recommendation if you are attempting to implement a simple scripting language because there's enough useful material in the second half that most developers will get something helpful out of it.
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Ich würde das Buch immer wieder kaufen.