Book Image

IPython Notebook Essentials

By : Luiz Felipe Martins
Book Image

IPython Notebook Essentials

By: Luiz Felipe Martins

Overview of this book

Table of Contents (15 chapters)
IPython Notebook Essentials
About the Author
About the Reviewers

Chapter 5. Advanced Computing with SciPy, Numba, and NumbaPro

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 SciPy

  • Advanced mathematical algorithms with SciPy

  • Accelerating computations with Numba and NumbaPro

Before running the examples in this chapter, load pylab by running the following command in a computing cell:

%pylab inline