Synopses & Reviews
Synopsis
Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level to allow the students to quickly apply results in practical settings.SPECIFIC PUBLICITY AND CHANNEL OPPORTUNITIESNotes for completion Focused publicity or channel marketing opportunities specific to this project or cluster. Can be left empty if nothing new to highlight.PRIOR EDITION SALES HISTORYn/a
- Tips, warnings, and "try this" features within each chapter help the reader develop good programming practices
- Chapter summaries, key terms, and functions and operators lists at the end of each chapter allow for quick access to important information
- At least three different types of end of chapter exercises - thinking, writing, and coding - let you assess your understanding and practice what you've learned
- All of the code in the book is in Jupyter notebook format that can run directly online