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Programming Languages
Build, Prove, and Compare
Buch von Norman Ramsey
Sprache: Englisch

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Beschreibung
Teaches students about great programming-language ideas and how to use them in programming practice.
Teaches students about great programming-language ideas and how to use them in programming practice.
Über den Autor
Norman Ramsey is Associate Professor of Computer Science at Tufts University. Since earning his Ph.D. at Princeton, he has worked in industry and has taught programming languages, advanced functional programming, programming-language implementation, and technical writing at Purdue, the University of Virginia, and Harvard as well as Tufts. He has received Tufts's Lerman-Neubauer Prize, awarded annually to one outstanding undergraduate teacher. He has also been a Hertz Fellow and an Alfred P. Sloan Research Fellow. His implementation credits include a code generator for the Standard ML of New Jersey compiler and another for the Glasgow Haskell Compiler.
Inhaltsverzeichnis
Preface; Acknowledgments; Credits; Tables of judgment forms, important functions, and concrete syntax; List of symbols and notation; Introduction; Part I. Foundations: 1. An imperative core; 2. Scheme, S-expressions, and first class functions; 3. Control operators and a small-step semantics: ¿Scheme+; 4. Automatic memory management; 5. Interlude: ¿Scheme in ML; 6. Type systems for Impcore and ¿Scheme; 7. ML and type inference; Part II. Programming at Scale: 8. User-defined, algebraic types; 9. Molecule, abstract data types, and modules; 10. Smalltalk and object orientation; Afterword; Bibliography; Key words and phrases; Concept index.
Details
Erscheinungsjahr: 2022
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781107180185
ISBN-10: 110718018X
Sprache: Englisch
Einband: Gebunden
Autor: Ramsey, Norman
Hersteller: Cambridge University Press
Maße: 259 x 183 x 43 mm
Von/Mit: Norman Ramsey
Erscheinungsdatum: 27.10.2022
Gewicht: 1,744 kg
Artikel-ID: 123850442
Über den Autor
Norman Ramsey is Associate Professor of Computer Science at Tufts University. Since earning his Ph.D. at Princeton, he has worked in industry and has taught programming languages, advanced functional programming, programming-language implementation, and technical writing at Purdue, the University of Virginia, and Harvard as well as Tufts. He has received Tufts's Lerman-Neubauer Prize, awarded annually to one outstanding undergraduate teacher. He has also been a Hertz Fellow and an Alfred P. Sloan Research Fellow. His implementation credits include a code generator for the Standard ML of New Jersey compiler and another for the Glasgow Haskell Compiler.
Inhaltsverzeichnis
Preface; Acknowledgments; Credits; Tables of judgment forms, important functions, and concrete syntax; List of symbols and notation; Introduction; Part I. Foundations: 1. An imperative core; 2. Scheme, S-expressions, and first class functions; 3. Control operators and a small-step semantics: ¿Scheme+; 4. Automatic memory management; 5. Interlude: ¿Scheme in ML; 6. Type systems for Impcore and ¿Scheme; 7. ML and type inference; Part II. Programming at Scale: 8. User-defined, algebraic types; 9. Molecule, abstract data types, and modules; 10. Smalltalk and object orientation; Afterword; Bibliography; Key words and phrases; Concept index.
Details
Erscheinungsjahr: 2022
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781107180185
ISBN-10: 110718018X
Sprache: Englisch
Einband: Gebunden
Autor: Ramsey, Norman
Hersteller: Cambridge University Press
Maße: 259 x 183 x 43 mm
Von/Mit: Norman Ramsey
Erscheinungsdatum: 27.10.2022
Gewicht: 1,744 kg
Artikel-ID: 123850442
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