A Student S Guide To Python For Physical Modeling

Author: Jesse M. Kinder
Publisher: Princeton University Press
ISBN: 1400889421
Size: 54.54 MB
Format: PDF, ePub, Mobi
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A fully updated tutorial on the basics of the Python programming language for science students Python is a computer programming language that is rapidly gaining popularity throughout the sciences. This fully updated edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing Animation Numerous code samples and exercises--with solutions—illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more. This current edition brings the discussion of the Python language, Spyder development environment, and Anaconda distribution up to date. In addition, a new appendix introduces Jupyter notebooks.

A Student S Guide To Python For Physical Modeling

Author: Jesse M. Kinder
Publisher: Princeton University Press
ISBN: 1400873983
Size: 73.19 MB
Format: PDF, Docs
View: 6239
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Python is a computer programming language that is rapidly gaining popularity throughout the sciences. A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing Animation Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more.

From Photon To Neuron

Author: Philip Nelson
Publisher: Princeton University Press
ISBN: 1400885485
Size: 19.69 MB
Format: PDF, ePub, Docs
View: 4941
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A richly illustrated undergraduate textbook on the physics and biology of light Students in the physical and life sciences, and in engineering, need to know about the physics and biology of light. Recently, it has become increasingly clear that an understanding of the quantum nature of light is essential, both for the latest imaging technologies and to advance our knowledge of fundamental life processes, such as photosynthesis and human vision. From Photon to Neuron provides undergraduates with an accessible introduction to the physics of light and offers a unified view of a broad range of optical and biological phenomena. Along the way, this richly illustrated textbook builds the necessary background in neuroscience, photochemistry, and other disciplines, with applications to optogenetics, superresolution microscopy, the single-photon response of individual photoreceptor cells, and more. With its integrated approach, From Photon to Neuron can be used as the basis for interdisciplinary courses in physics, biophysics, sensory neuroscience, biophotonics, bioengineering, or nanotechnology. The goal is always for students to gain the fluency needed to derive every result for themselves, so the book includes a wealth of exercises, including many that guide students to create computer-based solutions. Supplementary online materials include real experimental data to use with the exercises. Assumes familiarity with first-year undergraduate physics and the corresponding math Overlaps the goals of the MCAT, which now includes data-based and statistical reasoning Advanced chapters and sections also make the book suitable for graduate courses An Instructor's Guide and illustration package is available to professors

From Photon To Neuron

Author: Philip Nelson
Publisher:
ISBN: 9780691175188
Size: 58.34 MB
Format: PDF, ePub
View: 741
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Students in the physical and life sciences, and in engineering, need to know about the physics and biology of light. Recently, it has become increasingly clear that an understanding of the quantum nature of light is essential, both for the latest imaging technologies and to advance our knowledge of fundamental life processes, such as photosynthesis and human vision. From Photon to Neuron provides undergraduates with an accessible introduction to the physics of light and offers a unified view of a broad range of optical and biological phenomena. Along the way, this richly illustrated textbook builds the necessary background in neuroscience, photochemistry, and other disciplines, with applications to optogenetics, superresolution microscopy, the single-photon response of individual photoreceptor cells, and more. With its integrated approach, From Photon to Neuron can be used as the basis for interdisciplinary courses in physics, biophysics, sensory neuroscience, biophotonics, bioengineering, or nanotechnology. The goal is always for students to gain the fluency needed to derive every result for themselves, so the book includes a wealth of exercises, including many that guide students to create computer-based solutions. Supplementary online materials include real experimental data to use with the exercises. Assumes familiarity with first-year undergraduate physics and the corresponding math Overlaps the goals of the MCAT, which now includes data-based and statistical reasoning Advanced chapters and sections also make the book suitable for graduate courses An Instructor's Guide and illustration package is available to professors

Solving Pdes In Python

Author: Hans Petter Langtangen
Publisher: Springer
ISBN: 3319524623
Size: 70.43 MB
Format: PDF, ePub
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This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, including the Poisson equation, the equations of linear elasticity, the incompressible Navier–Stokes equations, and systems of nonlinear advection–diffusion–reaction equations, it guides readers through the essential steps to quickly solving a PDE in FEniCS, such as how to define a finite variational problem, how to set boundary conditions, how to solve linear and nonlinear systems, and how to visualize solutions and structure finite element Python programs. This book is open access under a CC BY license.

A Student S Guide To Data And Error Analysis

Author: Herman J. C. Berendsen
Publisher: Cambridge University Press
ISBN: 1139497855
Size: 75.27 MB
Format: PDF, ePub, Mobi
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All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

Current Therapy In Reptile Medicine And Surgery E Book

Author: Douglas R. Mader
Publisher: Elsevier Health Sciences
ISBN: 0323242936
Size: 24.85 MB
Format: PDF, Mobi
View: 5686
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Current Therapy in Reptile Medicine and Surgery is a valuable reference that emphasizes topics of real clinical relevance in reptile and amphibian medicine. With details on therapeutic regimens, this text also features coverage of infectious diseases, anesthesia, surgery, and advances in biology and conservation. Colorful illustrations showcase exotic animals, and numerous tables and figures provide quick access to essential information. "This is a great book for anyone interested in herptile medicine and surgery, worth every penny and I am sure will go on to become a regular series." Reviewed by: Jonathan Cracknell. Date: 25/07/2014 Selected topics of real clinical significance from the latest veterinary scientific literature explore today’s reptile and amphibian practice. A discussion of the most current theory and practical applications of diagnostic endoscopy in reptiles provides insight into minimally-invasive endoscopic procedures, including biopsy techniques. Expert contributors combine forces to bring you the most cutting-edge information available, offering authoritative and sometimes controversial opinions in particular areas. Expert contributors offer the most current thoughts on diagnosing new and emerging diseases, including a thorough review of molecular diagnostics. The latest therapeutics are discussed, and the most up-to-date formulary and library of normal clinical pathology values is provided. The most current and comprehensive discussion of amphibian medicine in print in the last decade!