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Training course "Scientific Python" @ JSC

begin
18.Mar.2013 09:00
end
20.Mar.2013 16:30
venue
JSC, Jülich

Python is being increasingly used in scientific computing as it is easy to make changes and explore new ideas.
Many Python packages support scientific computing. NumPy provides functionality for working with arrays. SciPy contains functionality for performing common tasks on these arrays, for example linear algebra, optimisation, numerical integration, and much more. Matplotlib is used to produce publication-quality plots.

The course will begin with an overview of NumPy and SciPy and then work along examples targeted at people interested in Python's capabilities and potential applications in their fields.

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