In this chapter, the user will learn how to use SciPy to perform scientific computations. The Numba package will then be introduced as a way to accelerate computations. Finally, the NumbaPro capabilities of parallel execution in the GPU will be presented.
In this chapter, we will cover the following topics:
Overview of
SciPyAdvanced mathematical algorithms with
SciPyAccelerating computations with
NumbaandNumbaPro
Before running the examples in this chapter, load pylab by running the following command in a computing cell:
%pylab inline