{"product_id":"quantitative-biosciences-companion-in-python-dynamics-across-cells-organisms-and-populations-paperback","title":"Quantitative Biosciences Companion in Python: Dynamics Across Cells, Organisms, and Populations - Paperback","description":"\u003cp\u003eby \u003cb\u003eJoshua S. Weitz\u003c\/b\u003e (Author), \u003cb\u003eNolan English\u003c\/b\u003e (Author), \u003cb\u003eAlexander B. Lee\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scales\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThis lab guide accompanies the textbook \u003ci\u003eQuantitative Biosciences\u003c\/i\u003e, 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.\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eDraws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities\u003c\/li\u003e\n\u003cli\u003eEncourages good coding practices, clear and understandable modeling, and accessible presentation of results\u003c\/li\u003e\n\u003cli\u003eHelps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale\u003c\/li\u003e\n\u003cli\u003eBuilds 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\u003c\/li\u003e\n\u003cli\u003eBridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own\u003c\/li\u003e\n\u003cli\u003eStand-alone computational lab guides for \u003ci\u003eQuantitative Biosciences\u003c\/i\u003e also available in R and MATLAB\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eJoshua S. Weitz\u003c\/b\u003e 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 \u003ci\u003eQuantitative Viral Ecology\u003c\/i\u003e (Princeton). \u003cb\u003eNolan English\u003c\/b\u003e is a postdoctoral researcher at Oak Ridge National Laboratory. \u003cb\u003eAlexander B. Lee\u003c\/b\u003e is a data scientist with expertise in developing biological models in Python and MATLAB. \u003cb\u003eAli Zamani\u003c\/b\u003e is associate data developer at Priceline.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 272\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.57 x 10 x 8 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 05, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47370155032754,"sku":"9780691255675","price":42.75,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/039d295f3af7e821889ff36f4c298285.webp?v=1777609230","url":"https:\/\/box.dadyminds.org\/products\/quantitative-biosciences-companion-in-python-dynamics-across-cells-organisms-and-populations-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}