Wow! eBook
Python Experiments in Physics and Astronomy
by: Padraig Houlahan (Author)
Publisher: CRC Press
Edition: 1st
Publication Date: 2025-05-15
Language: English
Print Length: 198 pages
ISBN-10: 103298189X
ISBN-13: 9781032981895
Book Description
Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs. The book also provides Python solutions that can be learned from and modified as needed. The book is mainly aimed at undergraduates, but since many science students and faculty have limited exposure to scientific programming, having a collection of examples that address curve-fitting, Fast Fourier Transforms, image photometry and image alignment, and many others could be very helpful not just for learning from, but also to support classroom projects and demonstrations.Key Features:Features tutorials using Python for non-computer science students and faculty involved with scientific programmingContains complete scientific programming examples for teaching and academic projectsPresents detailed Python solutions for Physics and Astronomy topics, not normally covered in depth, because they would be too time-consuming
Editorial Reviews
Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs. The book also provides Python solutions that can be learned from and modified as needed. The book is mainly aimed at undergraduates, but since many science students and faculty have limited exposure to scientific programming, having a collection of examples that address curve-fitting, Fast Fourier Transforms, image photometry and image alignment, and many others could be very helpful not just for learning from, but also to support classroom projects and demonstrations.Key Features:Features tutorials using Python for non-computer science students and faculty involved with scientific programmingContains complete scientific programming examples for teaching and academic projectsPresents detailed Python solutions for Physics and Astronomy topics, not normally covered in depth, because they would be too time-consuming
