Write Great Code: Volume 1: Understanding the Machine
Description:
If you've asked someone the secret to writing efficient, well-written software, the answer that you've probably gotten is "learn assembly language programming." By learning assembly language programming, you learn how the machine really operates and that knowledge will help you write better high-level language code. A dirty little secret assembly language programmers rarely admit to, however, is that what you really need to learn is machine organization, not assembly language programming. Write Great Code Vol I, the first in a series from assembly language expert Randall Hyde, dives right into machine organization without the extra overhead of learning assembly language programming at the same time. And since Write Great Code Vol I concentrates on the machine organization, not assembly language, the reader will learn in greater depth those subjects that are language-independent and of concern to a high level language programmer. Write Great Code Vol I will help programmers make wiser choices with respect to programming statements and data types when writing software, no matter which language they use.
Best prices to buy, sell, or rent ISBN 9781593270032
Frequently Asked Questions about Write Great Code: Volume 1: Understanding the Machine
The price for the book starts from $7.99 on Amazon and is available from 33 sellers at the moment.
If you’re interested in selling back the Write Great Code: Volume 1: Understanding the Machine book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Write Great Code: Volume 1: Understanding the Machine book, the best buyback offer comes from and is $ for the book in good condition.
The Write Great Code: Volume 1: Understanding the Machine book is in very low demand now as the rank for the book is 2,003,362 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.