Computer Architecture with Python and ARM: Learn how computers work, program your own, and explore assembly language on Raspberry Pi

This excellent book, written by a skilled author, explains how a computer works by teaching us, step by step, how to build a simple computer interpreter in Python. Designed to support teaching the basics of computer architecture, it is essentially a combination of sections on computer architecture, Python, and Raspberry Pi, in depth. We learn-by-doing as Clements walks us through finite state machines, data flow, interpreters, instruction sets, and simulators - culminating by producing our own interpreter. Examples and code are freely available on GitHub.Although this would be a good textbook for computer architect students, it is also valuable for someone who wants to understand how computers work in detail. Raspberry PI users and those wanting to learn Python could benefit. Even software engineers might use it to better understand how computer architecture relates to efficiency, security, and such.Clements is an excellent educator – entirely knowledgeable on the subject. He teaches hands-on by example – “learn by doing”. The concepts and terms are explained well, in depth, and illustrations provided to help comprehension. No small feat given the nature of the subjects.Had I been the author, I might have divided the book into two, using the Raspberry Pi/ARM section as a follow-on. However, the volume is well-written, full and with complete explanations. Comprehensive and extensive, it’ll take you a while to get through it. But if you’re game, this is an excellent learning tool. Wish I had had it at the start of my career!

This book stands out for its hands-on approach, teaching readers how to build a computer simulator with Python, simulate and execute assembly language instructions using Python, and delve into ARM assembly language programming on the Raspberry Pi. One of the book's standout features is its practicality. Author takes readers on a journey through computer architecture, starting with the fundamentals and gradually building up their knowledge. The step-by-step instructions for creating a computer simulator using Python make complex concepts accessible to readers with varying levels of programming experience. This hands-on approach ensures that readers not only understand theoretical concepts but can also apply them in practice.

Alan Clements is a pioneer in the industry and has, yet again, authored an excellent recipe book that reads like a novel. It is detailed, clear, concise, and to the point.I felt like the author was sitting beside me looking over my shoulder and answering my questions before I asked them.The book gets you up and running with Python, ARM, and the Pi quickly and efficiently with what you need to know and allows students to move as fast as they want through the material while learning and combining the different parts.The relevant and essential content was bounded and described in perfect ratios: not too lengthy and voluminous while not too short and brief. Every bit of information was useful and left just enough to my imagination to keep me engaged.An abundance of sample and example code including clear explanations of what, where, why, and how. Clear descriptions of all resources, code, and everything you need to get up and running quickly.A valuable source to design custom platforms combining elements of RISC, CISC, Von-Neumann, and non-Von-Neumann architectures. An excellent cross section of relevant, scalable, and useful material.Pay close attention to the material. It is designed to be immediately referenced, applied, and/or built upon.

This book is organized into two parts. The first part walks us through how to use Python to simulate a computer. If you are not already familiar with Python, you will appreciate the High-Speed Introduction to Python chapter as it covers everything from soup to nuts in under 30 pages. This first part also covers instruction architecture level and von Neumann architecture to help explain how data flows in a computer. Machine -level instruction sets (CISC and RISC) are also covered.The true gem of this book, in my opinion, is that the author teaches us how to build a simple computer interpreter in Python. Even if you only want to further your Python knowledge and are not interested in computer architecture, this is a great resource.The second main section of the book covers the use of a Raspberry Pi for studying computer architecture. The author does a great job in getting readers up to speed quickly with Raspberry Pi operations. If you follow the examples in the book, you will install and configure programs and packages, write assembly language code, and assemble ARM code. Troubleshooting and debugging are also covered. This section dives deep into ARM architecture, operations, addressing, and subroutines.

Commencing with an exploration of computer architecture and the intricate pathways of data within a computer system, you will advance to the creation of your very own interpreter using Python. This solid foundation will empower you to simulate computer operations, providing you with the tools to enhance your simulator by introducing new instructions and showcasing improved outcomes. Abundant with lucid explanations, hands-on examples, and coding exercises, this invaluable resource equips you with the skills to design and construct your personalized computer simulator, simulate assembly language programs effectively, and harness the potential of Raspberry Pi for ARM programming.

This book is a valuable resource for individuals eager to explore the inner workings of computers and develop practical programming skills. Author offers a solid foundation in computer architecture, coupled with hands-on exercises that reinforce learning. This book provides a fantastic starting point for enthusiasts and students looking to delve into the fascinating world of computer architecture and ARM programming.