Science and computing with Raspberry Pi / Brian R. Kent.

Format:

Book

Author/Creator:

Kent, Brian R., author.

Contributor:

Morgan & Claypool Publishers, publisher.

Institute of Physics (Great Britain), publisher.

Series:

IOP (Series). Release 4.

IOP concise physics

[IOP release 4]

IOP concise physics, 2053-2571

Language:

English

Subjects (All):

Science--Data processing.

Science.

Raspberry Pi (Computer).

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Distribution:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2018]

Place of Publication:

San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : Morgan & Claypool Publishers, [2018]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

text file

Biography/History:

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/b̃kent/.

Summary:

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.

Contents:

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 pedagogy

3. Chaos and non-linear dynamics

3.1. One and two dimensional pseudo random walks

3.2. Logistic maps, bifurcation, and chaos

3.3. Cellular automata

4. 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 transfer

5. Machine learning

5.1. Spanning trees

5.2. Neural networks and classification

6. Image combination and analysis

6.1. Image manipulation

6.2. Creating a multi-wavelength astronomical image

6.3. Manipulating astronomical data cubes

Appendices.

A. Mathematica shortcuts and help

B. Important Python modules and resources.

Notes:

"Version: 20180601"--Title page verso.

"A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on July 11, 2018).

Other Format:

Print version:

ISBN:

9781681749969

9781681749945

OCLC:

1044743667

Access Restriction:

Restricted for use by site license.