Introduction to Scientific and Technical Computing

...a long overdue and badly needed resource for beginning students of scientific, technical, and high-performance computing. It provides within a single concise volume tutorials and primers in all of the fundamental elements required to become a competent scientific programmer. Its style is extremel [...]
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...a long overdue and badly needed resource for beginning students of scientific, technical, and high-performance computing. It provides within a single concise volume tutorials and primers in all of the fundamental elements required to become a competent scientific programmer. Its style is extremely accessible and user friendly and employs illuminating examples to illustrate the key concepts and tools. I only wish that this book had been available to me when I was first learning scientific computing-I can only imagine the time that it would have saved me, the good habits that it would have instilled, and the elevated level of competence that I would have developed! -Andrew Ferguson, University of Illinois, Urbana-Champaign, USA ...touches topics that every practitioner in the field of scientific and technical computing has to learn at some point in his/her career. It provides an overview over software tools and coding infrastructure that form the basis of every computational research project. This book is a useful learning tool and reference for everybody serious about starting in computational research. -Michael Engel, Friedrich-Alexander-Universitat, Erlangen-Nurnberg, Germany ...a unique book that fills [a] gap in the existing scientific computing literature landscape.This book focuses on the necessary aspects of creating and maintaining a scientific code today. -Chris D. Lorenz, King's College, London, UK. The material this book covers is a good summary of what I learned piece-by-piece over a decade of research. I wish this book had existed when I was a first-year (or fifth-year) graduate student. It could have saved me a lot of time and taught me how to create reliable and reproducible computational science far earlier. -Carolyn Phillips, Computation Institute, University of Chicago; Neurensic, Inc., Chicago, Illinois, USA. This book is a must-have for any physicist, chemist or engineer grad student, postdoc and academic wishing to use modern computers for their research...the spellbook that unravels the mysteries of professional-style computation tools, making them accessible and useful to non-computer majors. -Erich A. Muller, Imperial College, London, UK. Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula.This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas. Covers fundamentals of software engineering practice. Offers fundamental working examples for topics of interest, which can serve as a starting points for readers to build necessary tools and code for their own projects. Discusses topics relevant to readers of all disciplines that use computing and introduces terminology that helps them interact with computing experts. Provides pointers and references for digger deeper into the details.Includes code in all chapters that readers can download using the industry standard git utility, allowing them to experiment and modify according to their needs. Examines software and tools such as Python, CMake, OpenMP, MPI, and HDF5. Features chapters on bash scripting, parallel programming, testing and verification, and software licensing and distribution.