Python
Revision as of 10:34, 25 March 2015 by KevinYager (talk | contribs)
Python is a powerful and flexible programming language. It is increasingly used in scientific software packages, because it has a large number of libraries that are extremely useful in numerical and scientific computing. For instance:
- numpy: Also known as numerical python, this package allows for efficient handling of vectors, arrays, matrices, and associated computations.
- matplotlib: Plotting library that can generate graphs of datasets, including area images. Publication-quality images are possible with some effort.
- scipy: A large collection of computational tools relevant to scientific data.
- Python Image Library (PIL): A library that allows opening, converting, and editing image files including the TIFF files frequently output by x-ray area detectors in scattering instruments.
See Also
Hints about Python usage
Official Site
Packages
- pyFAI: Fast azimuthal integration of 2D area images.
- Citation: G. Ashiotis, A. Deschildre, Z. Nawaz, J. P. Wright, D. Karkoulis, F. E. Picca and J. Kieffer The fast azimuthal integration Python library: pyFAI J. Appl. Cryst. 2015, 48, 510-519. doi: 10.1107/S1600576715004306