Difference between revisions of "Python"
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* '''[http://matplotlib.org/ matplotlib]''': Plotting library that can generate graphs of datasets, including area images. Publication-quality images are possible with some effort. | * '''[http://matplotlib.org/ matplotlib]''': Plotting library that can generate graphs of datasets, including area images. Publication-quality images are possible with some effort. | ||
* '''[http://www.scipy.org/ scipy]''': A large collection of computational tools relevant to scientific data. | * '''[http://www.scipy.org/ scipy]''': A large collection of computational tools relevant to scientific data. | ||
| − | * '''[http://www.pythonware.com/products/pil/ 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. | + | * '''[http://www.pythonware.com/products/pil/ 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. |
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==See Also== | ==See Also== | ||
| − | ===Hints about Python usage== | + | ===Hints about Python usage=== |
* [[Python:Various]] | * [[Python:Various]] | ||
* [[Python:Super]] | * [[Python:Super]] | ||
* [[Python:Indexing]] | * [[Python:Indexing]] | ||
* [[Python:FFT]] | * [[Python:FFT]] | ||
| + | * [[Python:Speed]] | ||
| + | ** A. Boulle and J. Kieffer [http://scripts.iucr.org/cgi-bin/paper?gj5229 High-performance Python for crystallographic computing] ''J. Appl. Cryst.'' '''2019''', 52 [http://gisaxs.com/index.php?title=Python&action=edit§ion=4tps://doi.org/10.1107/S1600576719008471 doi: 10.1107/S1600576719008471] | ||
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===Official Site=== | ===Official Site=== | ||
* [https://www.python.org/ www.python.org] | * [https://www.python.org/ www.python.org] | ||
** [https://www.python.org/downloads/ Downloads] | ** [https://www.python.org/downloads/ Downloads] | ||
| + | ===Packages for Scattering=== | ||
| + | * '''FabIO''': Import 2D area detector data into Python. | ||
| + | ** Citation: E. B. Knudsen, H. O. Sørensen, J. P. Wright, G. Goret and J. Kieffer [http://scripts.iucr.org/cgi-bin/paper?kk5124 FabIO: easy access to two-dimensional X-ray detector images in Python] ''J. Appl. Cryst.'' '''2013''', 46, 537-539. [http://dx.doi.org/10.1107/S0021889813000150 doi: 10.1107/S0021889813000150] | ||
| + | ** [https://pypi.python.org/pypi/fabio Source code.] | ||
| + | * '''pyHST''': Tomographic reconstruction. | ||
| + | * '''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 [http://scripts.iucr.org/cgi-bin/paper?fv5028 The fast azimuthal integration Python library: pyFAI] ''J. Appl. Cryst.'' '''2015''', 48, 510-519. [http://dx.doi.org/10.1107/S1600576715004306 doi: 10.1107/S1600576715004306] | ||
| + | ** [http://www.esrf.eu/UsersAndScience/Publications/Highlights/2012/et/et3 Official site.] | ||
| + | ** [https://github.com/kif/pyFAI Source code.] | ||
Latest revision as of 07:38, 25 July 2019
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
- Python:Various
- Python:Super
- Python:Indexing
- Python:FFT
- Python:Speed
- A. Boulle and J. Kieffer High-performance Python for crystallographic computing J. Appl. Cryst. 2019, 52 doi: 10.1107/S1600576719008471
Official Site
Packages for Scattering
- FabIO: Import 2D area detector data into Python.
- Citation: E. B. Knudsen, H. O. Sørensen, J. P. Wright, G. Goret and J. Kieffer FabIO: easy access to two-dimensional X-ray detector images in Python J. Appl. Cryst. 2013, 46, 537-539. doi: 10.1107/S0021889813000150
- Source code.
- pyHST: Tomographic reconstruction.
- 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
- Official site.
- Source code.
