Python for Scientific Computing and Artificial Intelligence

“For students, the book is crammed absolutely full of real-world examples to help learn Python quickly and efficiently from scratch. The content spans so many topics across so many subject areas that surely all interests are accommodated somewhere within. For instructors, it provides a gold mine of ideas for preparing our own courses and is likely one for the reading list.”

—Dr Jame Christian, Mathematics Today

In 2022, Stephen Lynch was named a National Teaching Fellow, which celebrates and recognises individuals who have made an outstanding impact on student outcomes and teaching in higher education. He won the award for his work in programming in the STEM subjects, research feeding into teaching, and widening participation (using experiential and object-based learning). Although educated as a pure mathematician, Stephen’s many interests now include applied mathematics, cell biology, electrical engineering, computing, neural networks, nonlinear optics and binary oscillator computing, which he co-invented with a colleague. He has authored 2 international patents for inventions, 8 books, 4 book chapters, over 40 journal articles, and a few conference proceedings. Stephen is a Fellow of the Institute of Mathematics and Its Applications (FIMA) and a Senior Fellow of the Higher Education Academy (SFHEA). He is currently a Reader with MMU and was an Associate Lecturer with the Open University from 2008-2012. In 2010, Stephen volunteered as a STEM Ambassador, in 2012, he was awarded MMU Public Engagement Champion status, and in 2014 he became a Speaker for Schools. He runs national workshops on “Python for A-Level Mathematics and Beyond,” and international workshops on “Python for Scientific Computing and TensorFlow for Artificial Intelligence.” He has run workshops in China, Malaysia, Singapore, and the USA.