Book Image

IPython Notebook Essentials

By : Martins
Book Image

IPython Notebook Essentials

By: Martins

Overview of this book

If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.
Table of Contents (15 chapters)
IPython Notebook Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

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