This 2d volume describes the systematic application of Promise Theory to systems, representing a significant step forward in describing functional systems with both dynamics and semantics. By combining quantitative and qualitative descriptions in a single framework, Promise Theory provides the first impartial language for multiscale system phenomena. The closer one is the intrinsic scale

If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques

This book is aimed at readers who are interested in software development but have very little to no prior experience. The book focuses on teaching the core principles around software development. It uses several technologies to this goal (e.g. C, Python, JavaScript, HTML, etc.) but is not a book about the technologies themselves. The reader will learn the basics (or in some cases more) o

Dive into the world of Raspberry Pi with this huge book of tutorials, project showcases, guides, product reviews, and much more from the writers of The MagPi, the official Raspberry Pi magazine! Raspberry Pi Pico 2 joins Raspberry Pi 5 in this, the 2025 edition of the Official Raspberry Pi Handbook. These amazing boards can power any project you can imagine. With 200 pages packed full of

Introduction to Computer Science provides a comprehensive foundation in core computer science concepts and principles, aligning with the scope and sequence of most introductory computer science courses. The offering serves as an engaging entry point for students pursuing diverse fields of study and employment, including computer science, business, engineering, data science, social scienc

Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have included a diverse mix of scenarios, examples,

This open access book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains. A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. The

This introduction to computer programming with Python begins with some of the basics of computing and programming before diving into the fundamental elements and building blocks of computer programs in Python language. From the installation of Python, Python interactive programming, and integrated development environments, to raising and handling exceptions, using compound data types to

The purpose of this text is to provide a reference for University level assembly language and systems programming courses. Specifically, this text addresses the x86-64 instruction set for the popular x86-64 class of processors using the Ubuntu 64-bit Operating System (OS). While the provided code and various examples should work under any Linux-based 64-bit OS, they have only been tested

The free book "Programming Basics with Python" introduces the readers to writing programming code at a beginner level (variables and data, conditional statements, loops, and functions) using the Python programming language. The book introduces readers to writing programming code at a beginner's level (basic coding skills), working the development environment (IDE), using variables and da