I d read and completed most of the exercises from the Structure and Interpretation of Computer Programs SICP a couple of months ago Then I ve stumbled on reviews saying that this book is a logical next step in learning the programming language theory I don t agree with them It really doesn t add that much Many topics and examples are just reiterations of those from SICPChapters concerning concurrent programming are well worth reading but because of the choice of the language and its kernel implementation it s hard to just jump into them If you re coming from SICP I d rather recommend reading books on dataflow concurrency and concurrent programming with threads and message passingIn my opinion CTM is an alternative to but not a continuation of SICPIf you re still wondering whether this book is worth reading there s a nice summary of its content on authors page Best programming book I ever read It ets to the heart of the technology favoring no one language over another Comprehensive and should be reuired reading Explains what object oriented programming is really about and illuminates it s limitations First three chapters were a Animal Babies god send Always found something new each time I re read it It s like theift that keeps on iving Also it s free online Tak. This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound The book focuses on techniues of lasting value and explains them precisely in terms of a simple abstract machine The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them togetherAfter an introduction to programming concepts the book presents both well known and lesser known computation models programming paradigms Each model has its own set of techniues and.
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Ight writing an outline for PLTthe writing is exceptional the kind where you immediately realize this will be a textbook a class above the main excellent bibliography rich in historical notes lots of connections by far the best material on declarative programming outside of ShapiroSterling s The Art of Prolog i deduct one star because their mozartoz system reminded me overmuch of sueaksmalltalk and thus ave recurring offense regardless a new bar has been set regarding programming language design from a rather applied perspective than is usually the casetogether with pierce s Types and Programming Languages and additionally barendregt s The Lambda Calculus for those born or reborn hardcore this provides a fine raduate semester class on programming language theory and formal semantics 2009 04 11 Mind blowing in diversity and depth of ideas For me it was a reat introduction to dataflow programming and the relational and constraint models I thought this book would be the holy rail It is in a lot of ways It s an extraordinary book that paves the way for how programming aught to be taughtIt s pragmatic in the sense that it teaches effective problem solving radually introducing new ways to accomplish programming tasks Interesting read nice introduction. One by one thus showing the deep relationships between different models The kernel languages are defined precisely in terms of a simple abstract machine Because a wide variety of languages and programming paradigms can be modeled by a small set of closely related kernel languages this approach allows programmer and student to rasp the underlying unity of programming The book has many program fragments and exercises all of which can be run on the Mozart Programming System an Open Source software package that features an interactive incremental development environment.
Eaways 1 dataflow variables kind of like futures you can wait on even if they ve not been defined make reasoning about concurrency much easier 2 reasoning about distributed state is possible but wow 3 constraint programming is beautiful and perhaps a bit magical 4 available paradigms in a iven language seems like a massive massive win An ABSLOUTE must read for all software engineers and programmers and especially so if you work with object oriented or functional programming language Learn a lot about computational modelsIdeas about the models last not for framework though Took a while but I finally finished this Plenty of Hear the Wolves good concepts in here starting with dataflow variables I didn t know the concepts and building all the way up to distributed systems uite incredible to see pretty much all the computation models built up from theround up with the bare minimum of parts Breathtaking tribute to how simple programming can beIt s a textbook and trying to read it as a book rather than as reference for a semester is pretty dense Valors Measure going In particular I found the formal definitions not particularly enlightening nor informative for the practicality of programming whoa I never moved this to read interesting i went back through a majority of it this Sunday Each is included on the basis of its usefulness in practice Theeneral models include declarative programming declarative concurrency message passing concurrency explicit state object oriented programming shared state concurrency and relational programming Specialized models include raphical user interface programming distributed programming and constraint programming Each model is based on its kernel language a simple core language that consists of a small number of programmer significant elements The kernel languages are introduced progressively adding concepts.