Write Great Code (3 book series) Kindle Edition

Write Great Code (3 book series)

Kindle Edition

by Randall Hyde (Author)

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

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Books in this series (3 books)

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Write Great Code, Volume 1, 2nd Edition: Understanding the Machine

by Randall Hyde (Author)

(47)

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.

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

See product details for:

Kindle
$29.99
Paperback
$36.49

Kindle

$29.99

Sold by: Penguin Random House Publisher Services

Write Great Code, Volume 2, 2nd Edition: Thinking Low-Level, Writing High-Level

by Randall Hyde (Author)

(23)

Explains how compilers translate high-level language source code (like code written in Python) into low-level machine code (code that the computer can understand) to help readers understand how to produce the best low-level, computer readable machine code.

In the beginning, most software was written in assembly, the CPU's low-level language, in order to achieve acceptable performance on relatively slow hardware. Early programmers were sparing in their use of high-level language code, knowing that a high-level language compiler would generate crummy, low-level machine code for their software. Today, however, many programmers write in high-level languages like Python, C/C++/C#, Java, Swift. The result is often sloppy, inefficient code.

But you don't need to give up the productivity and portability of high-level languages in order to produce more efficient software.

In this second volume of the Write Great Code series, you'll learn:
  •  How to analyze the output of a compiler to verify that your code does, indeed, generate good machine code
  •  The types of machine code statements that compilers typically generate for common control structures, so you can choose the best statements when writing HLL code
  •  Just enough 80x86 and PowerPC assembly language to read compiler output
  •  How compilers convert various constant and variable objects into machine data, and how to use these objects to write faster and shorter programs

NEW TO THIS EDITION, COVERAGE OF:
  •  Programming languages like Swift and Java
  •  Code generation on modern 64-bit CPUs
  •  ARM processors on mobile phones and tablets
  •  Stack-based architectures like the Java Virtual Machine
  •  Modern language systems like the Microsoft Common Language Runtime

With an understanding of how compilers work, you'll be able to write source code that they can translate into elegant machine code. That understanding starts right here, with Write Great Code, Volume 2: Thinking Low-Level, Writing High-Level.

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Kindle
$29.99
Paperback
$35.83

Kindle

$29.99

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Write Great Code, Volume 3: Engineering Software

by Randall Hyde (Author)

(20)

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 work
How to utilize traceability to enforce consistency within your documentation
The steps for creating your own UML requirements with use-case analysis
How to leverage the IEEE documentation standards to create better software

This 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.

See product details for:

Kindle
$29.99
Paperback
$39.99

Kindle

$29.99

Sold by: Penguin Random House Publisher Services

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Randall Hyde