John M. Stewart was Emeritus Reader in Gravitational Physics at the University of Cambridge, and a Life Fellow at King's College, Cambridge before his death in 2016. He was the author of 'Non-equilibrium Relativistic Kinetic Theory (Springer, 1971) and 'Advanced General Relativity' (Cambridge, 1991), and he translated and edited Hans Stephani's 'General Relativity' (Cambridge, 1990). Michael Mommert is Assistant Professor for Computer Vision at the University of St. Gallen, Switzerland, where he combines computer vision and Earth observation to implement efficient learning methods for a wide range of use cases. Before, he was a Solar System Astronomer and actively wrote scientific open-source code for this community.

'This volume provides an important update to the resources available to physicists and other scientists who manipulate quantitative data for one of their most common tasks: computation … The focus is on providing the practicing scientist a clear, concise guide to an important resource, and the author has chosen his topics appropriately. Both Python and this book deserve wide circulation.' Computing Reviews

• 1. Introduction; 2. About Python; 3. Basic Python; 4. NumPy – Numerical math; 5. SciPy – Numerical methods; 6. Matplotlib – Plotting; 7. SymPy – Symbolic math; 8. Pandas – Data handling; 9. Performance Python; 10. Software development tools; Index.

John M. Stewart was Emeritus Reader in Gravitational Physics at the University of Cambridge, and a Life Fellow at King's College, Cambridge before his death in 2016. He was the author of 'Non-equilibrium Relativistic Kinetic Theory (Springer, 1971) and 'Advanced General Relativity' (Cambridge, 1991), and he translated and edited Hans Stephani's 'General Relativity' (Cambridge, 1990). Michael Mommert is Assistant Professor for Computer Vision at the University of St. Gallen, Switzerland, where he combines computer vision and Earth observation to implement efficient learning methods for a wide range of use cases. Before, he was a Solar System Astronomer and actively wrote scientific open-source code for this community.

'This volume provides an important update to the resources available to physicists and other scientists who manipulate quantitative data for one of their most common tasks: computation … The focus is on providing the practicing scientist a clear, concise guide to an important resource, and the author has chosen his topics appropriately. Both Python and this book deserve wide circulation.' Computing Reviews

• 1. Introduction; 2. About Python; 3. Basic Python; 4. NumPy – Numerical math; 5. SciPy – Numerical methods; 6. Matplotlib – Plotting; 7. SymPy – Symbolic math; 8. Pandas – Data handling; 9. Performance Python; 10. Software development tools; Index.

John M. Stewart was Emeritus Reader in Gravitational Physics at the University of Cambridge, and a Life Fellow at King's College, Cambridge before his death in 2016. He was the author of 'Non-equilibrium Relativistic Kinetic Theory (Springer, 1971) and 'Advanced General Relativity' (Cambridge, 1991), and he translated and edited Hans Stephani's 'General Relativity' (Cambridge, 1990). Michael Mommert is Assistant Professor for Computer Vision at the University of St. Gallen, Switzerland, where he combines computer vision and Earth observation to implement efficient learning methods for a wide range of use cases. Before, he was a Solar System Astronomer and actively wrote scientific open-source code for this community.

'This volume provides an important update to the resources available to physicists and other scientists who manipulate quantitative data for one of their most common tasks: computation … The focus is on providing the practicing scientist a clear, concise guide to an important resource, and the author has chosen his topics appropriately. Both Python and this book deserve wide circulation.' Computing Reviews

• 1. Introduction; 2. About Python; 3. Basic Python; 4. NumPy – Numerical math; 5. SciPy – Numerical methods; 6. Matplotlib – Plotting; 7. SymPy – Symbolic math; 8. Pandas – Data handling; 9. Performance Python; 10. Software development tools; Index.