The Code Monster Manual

What every programmer should know about processors. We will learn:

- The principles of processors, the hardware component that makes the calculations in your computer.

- How processor instructions work, plus a peek at the complexity behind the function abstraction.

- Why compilers exist and how they broadly work.

- How to make computers faster by using multi-threading, caching, complex instructions, and pipelines.

- What the trade-offs are between processor performance and security.

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This is an evergreen classic programming book, focused on foundational principles rather than expiring knowledge trends. We feel 10 bucks is a fair price per digital volume and we don’t do sales. It’s a great deal, anytime! Feel free to buy the book now, or later, or whenever. The book will still be relevant, though you might encounter the monsters sooner…

We also recommend these evergreen classic programming books:

- Gödel, Escher, Bach: an Eternal Golden Braid by Douglas Hofstadter

- Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World by William Kent

- A Mathematician’s Lament by Paul Lockhart

- Structure and Interpretation of Computer Programs by Gerald Jay Sussman, Hal Abelson, and Julie Sussman

- Patterns of Software by Richard P. Gabriel

- Design Patterns by Alexander Shvetz (Refactoring Guru)

- Ladders Of Abstraction by Bret Victor (Worry Dream)

- Computer Networking: A Top-Down Approach by James F. Kurose and Keith W. Ross

- Crafting Interpreters by Robert Nystrom

- The Algorithm Design Manual by Steven Skiena

- Computer Systems: A Programmer’s Perspective by Randal E. Bryant and David R. O’Hallaron

- Computer Organization and Design by David A. Patterson and John L. Hennessy

- Operating Systems: Three Easy Pieces by Andrea Arpaci-Dusseau and Remzi Arpaci-Dusseau

- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

- The Mythical Man-Month by Fred Brooks

- Systemantics by John Gall