No Starch Press | The Secret Life Of Programs: Understand Computers - Craft Better Code (2019 EN)

Author: Jonathan E. Steinhart
Full Title: The Secret Life Of Programs: Understand Computers - Craft Better Code
Publisher: No Starch Press (August 6, 2019)
Year: 2019
ISBN-13: 9781593279707 (978-1-59327-970-7)
ISBN-10: 1593279701
Pages: 504
Language: English
Genre: Educational: Computer Science
File type: EPUB (True), PDF (True)
Quality: 10/10
Price: $44.95


Many coders are unfamiliar with the underlying technologies that make their programs run. But why should you care when your code appears to work? Because you want it to run well and not be riddled with hard-to-find bugs. You don’t want to be in the news because your code had a security problem.

Lots of technical detail is available online but it’s not organized or collected into a convenient place. In The Secret Life of Programs, veteran engineer Jonathan E. Steinhart explores—in depth—the foundational concepts that underlie the machine. Subjects like computer hardware, how software behaves on hardware, as well as how people have solved problems using technology over time.


You’ll learn:
✓ How the real world is converted into a form that computers understand, like bits, logic, numbers, text, and colors
✓ The fundamental building blocks that make up a computer including logic gates, adders, decoders, registers, and memory
✓ Why designing programs to match computer hardware, especially memory, improves performance
✓ How programs are converted into machine language that computers understand
✓ How software building blocks are combined to create programs like web browsers
✓ Clever tricks for making programs more efficient, like loop invariance, strength reduction, and recursive subdivision
✓ The fundamentals of computer security and machine intelligence
✓ Project design, documentation, scheduling, portability, maintenance, and other practical programming realities.

Learn what really happens when your code runs on the machine and you’ll learn to craft better, more efficient code.

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