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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 for Scattering