Interactive content allows users to input values and step through code for hands-on learning
Includes executable Jupyter notebook pages for real-time code execution and experimentation
Covers essential engineering Python libraries such as NumPy, Pandas, Matplotlib, and SciKit Learn for practical problem-solving
Provides illustrative examples and exercises to reinforce key concepts
Solutions manual available for instructors to support classroom instruction
Summarized by Shop
This book introduces computing and programming with undergraduate engineering students in mind. It uses Python (Version 3) as the programming language, chosen for its simplicity, readability, wide applicability and large collection of libraries. After introducing engineering-related Python libraries, such as NumPy, Pandas, Matplotlib, Sci