Scipy package (SCIentific PYthon) which provides a multitude of numerical algorithms and which is introduced in this chapter. The matplotlib package (also knows as pylab) provides plotting and visualisation capabilities (see 15-visualising-data.ipynb) and the The numpy module provides a data type specialised for “number crunching” of vectors and matrices (this is the array type provided by “ numpy” as introduced in 14-numpy.ipynb), and linear algebra tools. We list three such modules in particular: Provide numerical tools for frequently occurring tasksĪnd are more efficient in terms of CPU time and memory requirements than using the code Python functionality alone. However, there are dedicated (third-party) Python libraries that provide extended functionality which The core Python language (including the standard libraries) provide enough functionality to carry out computational research tasks. ![]() Numerical Methods using Python (scipy) ¶ Overview ¶
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