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Python is a powerful high-level general-purpose programming language that can be applied to many types of problems. It uses a clear, elegant syntax, making programs easy to write, read, and maintain. It has many advanced features and supports both object-oriented and functional programming paradigms. It has become a dominant language in engineering due to its versatility, ease of use, and powerful ecosystem of open-source libraries. But in these days of generative AI tools that help write software, does an engineer still need to understand the fundamentals of a programming language and its environment? The answer is a resounding YES. AI assistants cannot yet be fully trusted to produce correct programs for several reasons. They can be useful when prompted with specific language terminology, but their outputs must be carefully evaluated, thoroughly tested, modified as necessary, and re-tested. This requires knowing how to use the necessary tools in the development environment. To successfully leverage AI assistance, one must understand what is feasible with Python and how to express it. This book provides an overview of what can be achieved in a variety of engineering applications and scenarios. It was initially started before generative AI became widely available, but guidance on how to effectively use AI assistants with Python has been added. Python’s intuitive syntax allows engineers to focus on solving problems and applying solution principles with fewer distractions. Its expressiveness expands an engineer’s capabilities, allowing them to work at a higher level of abstraction. The language uses standard English keywords, which makes it easier to write code that more closely resembles the concise mathematics used to solve engineering problems. The reader will learn Python with the immediate goal of writing useful programs for engineering purposes. The book demonstrates professionallevel language features and data structures, and it is self-contained for readers who have never programmed before. Pointers to more extensive material online are also provided, so readers will know where to look for further information and how to evaluate AI-generated content. Python is free to download, use, and include in applications. It is portable across platforms and operating systems, and can run on almost any environment (desktop, cloud, devices, etc.). It is compatible with macOS, Windows, Linux, other Unix variants, iOS, Android, Raspberry Pi OS, and many others. Python also includes a large standard library that supports common tasks such as operating system calls, window systems, web interactions, automated testing, and more. In addition to its traditional use in numerical analysis (a focus of other Python books for engineers and scientists), Python can be integrated into systems, product designs, and workflows to improve personal productivity in various ways. Python provides functionality for many types of systems and embedded devices, from on-board flight software to Internet of Things (IoT) applications, dynamic websites, and phone apps. Knowing Python’s capabilities equips engineers with insight into design options and trade-offs. As an example of workflow automation, this book was developed using Python scripts to generate LaTeX markup and automatically recreate all the included graphics files when code or global styles were updated. Given the many change iterations, numerous links throughout the text, and the file management and regression testing required for all examples, this automation was not overkill. The author first learned Fortran as an undergraduate and has used C, Basic, PHP, Java, and other languages. What might take days to implement in another language can often be reduced to hours using Python, with far fewer lines of code. The benefits are even greater when considering the ease of maintaining Python code, thanks to its emphasis on readability. The bottom line is that engineers can harness the power of Python’s extensive libraries to become more efficient, perform more sophisticated analyses, work more rapidly, integrate systems more effectively, and develop better solutions for the challenges confronting humanity.