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

Περιλαμβάνει βιβλιογραφικές παραπομπές.

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.

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.