Scipy And Numpy: An Overview for Developers

by BRESSOUND

About the Book: SciPy and NumPy Learn the basics of SciPy and NymPy quickly. With this conciseintroduction, youll cut through the complexity of onlinedocumentation and discover how easily you can get up to speed withthese Python libraries. Youll also understand why theyre powerfulenough for many of todays leading scientists and engineers. This overview shows you how to use NumPy for numericalprocessing, including array indexing, math operations, and loadingand saving data. Youll learn how SciPy helps you work with advancedmathematical functions such as optimization, interpolation,integration, clustering, statistics, and other tools that takescientific programming to a whole new level. This book alsointroduces add-on SciKits packages that focus on advanced imagingalgorithms and machine learning. Contens Chapter 1 Introduction Chapter 2 NumPy Chapter 3 SciPy Chapter 4 SciKit: Taking SciPy One Step Further Chapter 5 Conclusion Appendix About the Author About the Author: Eli Bressert Eli Bressert was born in Tucson, Arizona. He worked as a scienceimager for NASAs Chandra X-ray Space Telescope optimizing scienceimages which are frequently seen on book covers, newspapers,television, and other media. Afterward, Eli obtained his PhD inastrophysics at the University of Exeter and is currently a BoltonFellow at CSIRO Astronomy and Space Science in Sydney, Australia.For the past six years Eli has been programming in Python andgiving Python lectures at Harvard University, the European SpaceAstronomy Centre, and the European Southern Observatory. He is oneof the founding developers for two well-known astrophysics Pythonpackages: ATpy and APLpy.

86 pages, Paperback

First published January 1, 2012