Essentials Of Compilation (MIT Press)
Monday, 03 April 2023

Most books about compilers dedicate one chapter to each progressive stage, a structure that hides how language features motivate design choices. By contrast, in this book subtitled An Incremental Approach in Racket, Jeremy G. Siek provides an incremental approach that allows students to write every single line of code themselves.

Essentials of Compilation guides the reader in constructing their own compiler for a small but powerful programming language, adding complex language features as the book progresses.

Author: Jeremy G. Siek
Publisher: MIT Press
Date: February 2023
Pages: 240
ISBN: 978-0262047760
Print: 0262047764
Kindle: ‎ B0B1XZ26GS
Audience: developers interested in compilers
Level: Intermediate
Category: Software Architecture

essentcomp

  • Deconstructs the challenge of compiler construction into bite-sized pieces
  • Enhances learning by connecting language features to compiler design choices
  • Develops understanding of how programs are mapped onto computer hardware
  • Learn-by-doing approach suitable for students and professionals
  • Extensive ancillary resources include source code and solutions

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner


Administering Relational Databases on Microsoft Azure

Author: Prashanth Jayaram et al
Publisher: Independent
Pages: 622
ISBN: 979-8706128029
Print: B08Y4LBTP4
Kindle: B08XZQJHMK
Audience: Azure DBAs
Rating: 2 or 4 (see review for details)
Reviewer: Ian Stirk

This book aims to help you pass the Azure Relational Database exam DP-300, how does it fare?



Foundational Python For Data Science

Author: Kennedy Behrman
Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.


More Reviews