Preface
Acknowledgements
Author biography
1 Raspberry Pi
1.1 Single-board computing
1.2 Why Raspberry Pi?
Reference
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
References
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
References
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
References
5 Machine learning
5.1 Spanning trees
5.2 Neural networks and classification
References
6 Image combination and analysis
6.1 Image manipulation
6.2 Creating a multi-wavelength astronomical image
6.3 Manipulating astronomical data cubes
References
Appendices
A Mathematica shortcuts and help
B Important Python modules and resources