An Introduction to Python Programming for Scientists and Engineers

‘This book provides an excellent introduction to the Python language especially targeted at those interested in carrying out calculations in the physical sciences. I especially like the strong coverage of graphics and of good coding practice.’ Raymond Pierrehumbert, University of Oxford‘An excellent introduction to Python for scientists and engineers. Much more than teaching you how to program with Python, it teaches you how to do science with Python.’ Eric Shaffer, University of Illinois at Urbana-Champaign‘Python has achieved an essential role in many disciplines within science, engineering, and beyond. Students and professionals are expected to be fluent in it, and (as I see in my daily job of helping users of a high-performance computing facility) they often struggle to reach that fluency. The authors have succeeded in the daunting task of writing a single book to help people reach a very advanced level of fluency, starting very gently and assuming no background. Unlike other books on the subject, An Introduction to Python Programming for Scientists and Engineers focuses on teaching for the intended end goal of scientists and engineers - investigating their scientific problems - not writing software for its own sake. I am looking forward to working with the generation who will learn how to program in Python using this book!’ Davide Del Vento, NCAR Computational & Information Services Laboratory‘An Introduction to Python Programming for Scientists and Engineers introduces programming in Python using evidence-based approaches to active learning. The exercises help both students and instructors identify misconceptions in programming, allowing students to build a strong foundation in Python programming. The book streamlines content such that there is a focus on mastering immediately useful concepts, normalizing errors, and demonstrating recovery.’ Kari L. Jordan, Executive Director, The Carpentries‘This book is a really good fit for my students’ needs. The detailed explanations are helpful for students who find the course material within the taught teaching sessions too fast and the ‘Try it yourself’ sections as well as the questions at the end of the chapters are very helpful for students to assess their own knowledge.’ Sabine von Hunerbein, University of Salford‘Very clear textbook with plenty of examples. Makes it easy to start using Python immediately.’ Daniel Birmajer, Nazareth University

Johnny Wei-Bing Lin is an Associate Teaching Professor and Director of Undergraduate Computing Education in the Division of Computing and Software Systems at the University of Washington Bothell, and an Affiliate Professor of Physics and Engineering at North Park University. He was the founding Chair of the American Meteorological Society’s annual Python Symposium.

Hannah Aizenman is a Ph.D. candidate in Computer Science at The Graduate Center, City University of New York. She studies visualization and is a core developer of the Python library Matplotlib.

Erin Manette Cartas Espinel graduated with a Ph.D. in physics from the University of California, Irvine. After more than 10 years at the University of Washington Bothell, she is now a software development engineer.

Kim Gunnerson recently retired as an Associate Teaching Professor at the University of Washington Bothell, where she taught chemistry and introductory computer programming.

Joanne Liu received her Ph.D. in Bioinformatics and Systems Biology from the University of California San Diego.