Science and computing with Raspberry Pi /
"Version: 20180601"--Title page verso."A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso.Includes bibliographical references.1. Raspberry Pi -- 1.1. Single-board computing -- 1.2. Why Raspberry Pi?2. Setting up your system -- 2.1. Hardware configuration, requirements, and limitations -- 2.2. Understanding Linux -- 2.3. Python -- 2.4. Mathematica and Wolfram Alpha -- 2.5. Sources of astronomical science data -- 2.6. Using revision control -- 2.7. Jupyter notebooks -- 2.8. Coding pedagogy3. Chaos and non-linear dynamics -- 3.1. One and two dimensional pseudo random walks -- 3.2. Logistic maps, bifurcation, and chaos -- 3.3. Cellular automata4. Physics and astronomy -- 4.1. A simple pendulum -- 4.2. The double pendulum -- 4.3. Hydrostatics -- 4.4. Astronomical catalogs -- 4.5. The Lane-Emden equation -- 4.6. Radiative transfer5. Machine learning -- 5.1. Spanning trees -- 5.2. Neural networks and classification6. Image combination and analysis -- 6.1. Image manipulation -- 6.2. Creating a multi-wavelength astronomical image -- 6.3. Manipulating astronomical data cubesAppendices. -- A. Mathematica shortcuts and help -- B. Important Python modules and resources.The portable Raspberry Pi computing platform with the power of Linux yields an exciting exploratory tool for beginning scientific computing. Science and Computing with Raspberry Pi takes the reader through explorations in a variety of computing exercises with the physical sciences. The book guides the user through: configuring your Raspberry Pi and Linux operating system; understanding the software requirements while using the Pi for scientific computing; computing exercises in physics, astronomy, chaos theory, and machine learning.Researcher, student, or hobbyist.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Brian R. Kent, PhD is a scientist with the National Radio Astronomy Observatory in Charlottesville, Virginia. His publications and studies in astrophysics and computing include scientific visualizations of a variety of theoretical and observational phenomena. He is interested in visualizing data for scientific analysis, 3D graphics, and introducing scientific programming via single-board computers like Raspberry Pi. Dr. Kent received his PhD in Astronomy and Space Sciences from Cornell University. His website is $uhttp://www.cv.nrao.edu/?abkent/.Title from PDF title page (viewed on July 11, 2018).
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