Quantitative Biosciences Companion in Python | Dynamics across Cells, Organisms, and Populations

Joshua S. Weitz (u. a.)

ISBN 10: 0691255679 / ISBN 13: 9780691255675

Editore: Princeton University Press, 2024

Quantitative Biosciences Companion in Python | Dynamics across Cells, Organisms, and Populations | Joshua S. Weitz (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Princeton University Press | EAN 9780691255675 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 127185559

Riassunto:

A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scales

This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty.

• Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities
• Encourages good coding practices, clear and understandable modeling, and accessible presentation of results
• Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale
• Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations
• Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own
• Stand-alone computational lab guides for Quantitative Biosciences also available in R and MATLAB

Informazioni sull'autore: Joshua S. Weitz is professor and the Clark Leadership Chair in Data Analytics in the Department of Biology at the University of Maryland. Previously, he held the Tom and Marie Patton Chair in Biological Sciences at the Georgia Institute of Technology, where he founded the Interdisciplinary Graduate Program in Quantitative Biosciences. He is the author of Quantitative Viral Ecology (Princeton). Nolan English is a postdoctoral researcher at Oak Ridge National Laboratory. Alexander B. Lee is a data scientist with expertise in developing biological models in Python and MATLAB. Ali Zamani is associate data developer at Priceline.

Dati bibliografici

Titolo: Quantitative Biosciences Companion in Python...
Casa editrice: Princeton University Press
Data di pubblicazione: 2024
Legatura: Taschenbuch
Condizione: Neu