Write Great Code (23 Ergebnisse)

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Paperback. Zustand: Very Good. Write Great Code Volume 3: Engineering Software This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Zustand: New. pp. 376.

Paperback. Zustand: Brand New. 343 pages. 9.00x7.00x1.00 inches. In Stock.

Zustand: New. pp. 472.

Paperback. Zustand: Brand New. 2nd edition. 470 pages. 9.50x7.25x1.00 inches. In Stock.

Paperback. Zustand: Brand New. 2nd edition. 629 pages. 9.25x7.00x1.25 inches. In Stock.

Zustand: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. 2020. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New.

Zustand: New. Randall Hyde is the author of The Art of Assembly Language, one of the most highly recommended resources on assembly, and the three volume Write Great Code series (all No Starch Press). He is also the co-author of The Waite Group s M.

Zustand: New. Randall Hyde is the author of The Art of Assembly Language, one of the most highly recommended resources on assembly, and Write Great Code, Volumes I &amp II. He is also the co-author of The Waite Group s MASM 6.0 Bible. He has written for Dr. Dobb .

Zustand: New. Randall Hyde is the author of The Art of Assembly Language, one of the most highly recommended resources on assembly, and the three volume Write Great Code series (all No Starch Press). He is also the co-author of The Waite Group s M.

Taschenbuch. Zustand: Neu. Neuware -Understanding the Machine, the first volume in the landmark Write Great Code series by Randall Hyde, explains the underlying mechanics of how a computer works.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: How the machine represents numbers, strings, and high-level data structures, so you'll know the inherent cost of using them. How to organize your data, so the machine can access it efficiently. How the CPU operates, so you can write code that works the way the machine does. How I/O devices operate, so you can maximize your application's performance when accessing those devices. How 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: Programming languages like Swift and Java Code generation on modern 64-bit CPUs ARM processors on mobile phones and tablets Newer peripheral devices Larger memory systems and large-scale SSDsPetersen Buchimport GmbH, Weidestraße 122 a, 22083 Hamburg 452 pp. Englisch.

Taschenbuch. Zustand: Neu. Write Great Code, Volume 1 | Understanding the Machine | Randall Hyde | Taschenbuch | 470 S. | Englisch | 2020 | Random House LLC US | EAN 9781718500365 | Verantwortliche Person für die EU: Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, 22083 Hamburg, gpsr[at]petersen-buchimport[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware - Understanding the Machine, the first volume in the landmark Write Great Code series by Randall Hyde, explains the underlying mechanics of how a computer works.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:How the machine represents numbers, strings, and high-level data structures, so you'll know the inherent cost of using them.How to organize your data, so the machine can access it efficiently.How the CPU operates, so you can write code that works the way the machine does.How I/O devices operate, so you can maximize your application's performance when accessing those devices.How 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:Programming languages like Swift and JavaCode generation on modern 64-bit CPUsARM processors on mobile phones and tabletsNewer peripheral devicesLarger memory systems and large-scale SSDs.

Taschenbuch. Zustand: Neu. Neuware - Engineering Software, the third volume in the landmark Write Great Code series by Randall Hyde, helps you create readable and maintainable code that will generate awe from fellow programmers.The field of software engineering may value team productivity over individual growth, but legendary computer scientist Randall Hyde wants to make promising programmers into masters of their craft. To that end, Engineering Software--the latest volume in Hyde's highly regarded Write Great Code series--offers his signature in-depth coverage of everything from development methodologies and strategic productivity to object-oriented design requirements and system documentation.You'll learn:Why following the software craftsmanship model can lead you to do your best workHow to utilize traceability to enforce consistency within your documentationThe steps for creating your own UML requirements with use-case analysisHow to leverage the IEEE documentation standards to create better softwareThis advanced apprenticeship in the skills, attitudes, and ethics of quality software development reveals the right way to apply engineering principles to programming. Hyde will teach you the rules, and show you when to break them. Along the way, he offers illuminating insights into best practices while empowering you to invent new ones.Brimming with resources and packed with examples, Engineering Software is your go-to guide for writing code that will set you apart from your peers.

Taschenbuch. Zustand: Neu. Write Great Code, Volume 2, 2nd Edition | Thinking Low-Level, Writing High-Level | Randall Hyde | Taschenbuch | 680 S. | Englisch | 2020 | No Starch Press | EAN 9781718500389 | Verantwortliche Person für die EU: Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, 22083 Hamburg, gpsr[at]petersen-buchimport[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware - Thinking Low-Level, Writing High-Level, the second volume in the landmark Write Great Code series by Randall Hyde, covers high-level programming languages (such as Swift and Java) as well as code generation on 64-bit CPUsARM, the Java Virtual Machine, and the Microsoft Common Runtime.Today's programming languages offer productivity and portability, but also make it easy to write sloppy code that isn't optimized for a compiler. Thinking Low-Level, Writing High-Level will teach you to craft source code that results in good machine code once it's run through a compiler.You'll learn:How to analyze the output of a compiler to verify that your code generates good machine codeThe types of machine code statements that compilers generate for common control structures, so you can choose the best statements when writing HLL codeEnough assembly language to read compiler outputHow compilers convert various constant and variable objects into machine dataWith an understanding of how compilers work, you'll be able to write source code that they can translate into elegant machine code.NEW TO THIS EDITION, COVERAGE OF:Programming languages like Swift and JavaCode generation on modern 64-bit CPUsARM processors on mobile phones and tabletsStack-based architectures like the Java Virtual MachineModern language systems like the Microsoft Common Language Runtime.

Taschenbuch. Zustand: Neu. Neuware -Understanding the Machine, the first volume in the landmark Write Great Code series by Randall Hyde, explains the underlying mechanics of how a computer works.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: How the machine represents numbers, strings, and high-level data structures, so you'll know the inherent cost of using them. How to organize your data, so the machine can access it efficiently. How the CPU operates, so you can write code that works the way the machine does. How I/O devices operate, so you can maximize your application's performance when accessing those devices. How 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: Programming languages like Swift and Java Code generation on modern 64-bit CPUs ARM processors on mobile phones and tablets Newer peripheral devices Larger memory systems and large-scale SSDs 452 pp. Englisch.