Quantitative Biosciences Companion in Python: Dynamics Across Cells, Organisms, and Populations - Couverture souple

Weitz, Joshua S.; English, Nolan; Lee, Alexander B.; Zamani, Ali

 
9780691255675: Quantitative Biosciences Companion in Python: Dynamics Across Cells, Organisms, and Populations
Couverture souple
ISBN 10 : 0691255679 ISBN 13 : 9780691255675
Editeur : Princeton University Press, 2024

Synopsis

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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Princeton University Press
Date d'édition
2024
Langue
anglais
ISBN 10 
0691255679
ISBN 13 
9780691255675
Reliure
Broché
Nombre de pages
272
Coordonnées du fabricant
non disponible
Personne responsable
non disponible