Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Overview of this book

Table of Contents (15 chapters)
Learning SciPy for Numerical and Scientific Computing Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


This chapter dealt with tools appropriate for data mining and explored modules such as stats (for statistics), spatial (for data structures), and cluster (for clustering and vector quantization). In the next chapter, additional functionalities included in the SciPy module, scipy.spatial, will be studied, complementing the ones already explored in previous chapters. As usual, each function introduced will be illustrated via non-trivial examples which can be enriched modifying the IPython Notebook corresponding to this chapter.