An Incremental Approach in Python: Essentials of Compilation
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Description
A hands-on approach to understanding and building compilers using the programming language Python.Compilers are notoriously difficult programs to teach and understand. Most books about compilers dedicate one chapter to each progressive stage, a structure that hides how language features motivate design choices. By contrast, this innovative textbook provides an incremental approach that allows students to write every single line of code themselves. Jeremy Siek guides the reader in constructing their own compiler in the powerful object-oriented programming language Python, adding complex language features as the book progresses. Essentials of Compilation explains the essential concepts, algorithms, and data structures that underlie modern compilers and lays the groundwork for future study of advanced topics. Already in wide use by students and professionals alike, this rigorous but accessible book invites readers to learn by doing. Deconstructs the challenge of compiler construction into bite-sized piecesEnhances learning by connecting language features to compiler design choicesDevelops understanding of how programs are mapped onto computer hardwareClassroom-tested, hands-on approach suitable for students and professionalsExtensive ancillary resources include source code and solutions
Additional information
Weight | 0.65 kg |
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Dimensions | 1.88 × 18.42 × 26.19 cm |
PubliCanadation City/Country | USA |
by | |
Format | Hardback |
Language | |
Pages | 232 |
Publisher | |
Year Published | 2023-8-1 |
Imprint | |
ISBN 10 | 0262048248 |
About The Author | Jeremy G. Siek is Professor of Computer Science at Indiana University and author of Essentials of Compilation: An Incremental Approach in Racket and The Boost Graph Library. He invented gradual typing, a type system that integrates both dynamic and static typing in the same programming language. |
Table Of Content | Preface xi1 Preliminaries 12 Integers and Variables 133 Parsing 294 Register Allocation 455 Booleans and Conditionals 656 Loops and Dataflow Analysis 917 Tuples and Garbage Collection 998 Functions 1259 Lexically Scooped Functions 14310 Dynamic Typing 16111 Gradual Typing 17712 Generics 195A Appendix 207References 209Index 217 |
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