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|a Hyde, Randall,
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|a Write Great Code, Volume 1, 2nd Edition /
|c Hyde, Randall.
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|a 2nd edition.
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|b No Starch Press,
|c 2020.
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|a 1 online resource (472 pages)
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|a This, the first volume in Randall Hyde's Write Great Code series, dives into machine organization without the extra overhead of learning assembly language programming. Written for high-level language programmers, Understanding the Machine fills in the low-level details of machine organization that are often left out of computer science and engineering courses. Learn: " ow the machine represents numbers, strings, and high-level data structures, so you'll know the inherent cost of using them." ow to organize your data, so the machine can access it efficiently." ow the CPU operates, so you can write code that works the way the machine does." ow I/O devices operate, so you can maximize your application's performance when accessing those devices." ow to best use the memory hierarchy to produce the fastest possible programs. Great code is efficient code. But before you can write truly efficient code, you must understand how computer systems execute programs and how abstractions in programming languages map to the machine's low-level hardware. After all, compilers don't write the best machine code; programmers do. This book gives you the foundation upon which all great software is built. NEW IN THIS EDITION, COVERAGE OF: " rogramming languages like Swift and Java " ode generation on modern 64-bit CPUs " RM processors on mobile phones and tablets " ewer peripheral devices " arger memory systems and large-scale SSDs
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|f Copyright © No Starch Press
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|a Made available through: Safari, an O'Reilly Media Company.
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