Introduction to Scientific Computing in Python
A set of lectures on scientific computing with Python, using IPython notebooks.
Tag(s): Python
Publication date: 16 Apr 2016
ISBN-10: n/a
ISBN-13: n/a
Paperback: 177 pages
Views: 11,015
Type: Lecture Notes
Publisher: n/a
License: Creative Commons Attribution 3.0 Unported
Post time: 24 Sep 2016 04:00:00
Introduction to Scientific Computing in Python
A set of lectures on scientific computing with Python, using IPython notebooks.
Publication date: 16 Apr 2016
ISBN-10: n/a
ISBN-13: n/a
Paperback: 177 pages
Views: 11,015
Document Type: Lecture Notes
Publisher: n/a
License: Creative Commons Attribution 3.0 Unported
Post time: 24 Sep 2016 04:00:00
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1. Introduction to scientific computing with Python
2. Introduction to Python programming
3. Numpy - multidimensional data arrays
4. SciPy - Library of scientific algorithms for Python
5. matplotlib - 2D and 3D plotting in Python
6. Sympy - Symbolic algebra in Python
7. Using Fortran and C code with Python
8. Lecture 6B - Tools for high-performance computing applications
9. Revision control software
The latest version of this IPython notebook lecture is available here.
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About The Author(s)
J. Robert Johansson, Ph.D. works with theoretical and computational solid-state physics, with focus on quantum mechanics in superconducting electrical circuits. He has worked on qubits for quantum computing, artificial-atom and resonator circuits for on-chip atomic and quantum-optics-like physics in the microwave regime, and on quantum vacuum related phenomena, such as the dynamical Casimir effect.
J. Robert Johansson, Ph.D. works with theoretical and computational solid-state physics, with focus on quantum mechanics in superconducting electrical circuits. He has worked on qubits for quantum computing, artificial-atom and resonator circuits for on-chip atomic and quantum-optics-like physics in the microwave regime, and on quantum vacuum related phenomena, such as the dynamical Casimir effect.