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Learning Scientific Programming with Python by Christian Hill (2016, Hardcover)

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Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering.

About this product

Product Identifiers

PublisherCambridge University Press

ISBN-101107075416

ISBN-139781107075412

eBay Product ID (ePID)211197275

Product Key Features

Number of Pages462 Pages

Publication NameLearning Scientific Programming with Python

LanguageEnglish

Publication Year2016

SubjectGeneral, Physics / Mathematical & Computational, Programming Languages / Python

TypeTextbook

Subject AreaComputers, Science

AuthorChristian Hill

FormatHardcover

Dimensions

Item Height1 in

Item Weight32.8 Oz

Item Length9.6 in

Item Width6.7 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2015-017085

Reviews'This book is well illustrated and is supported by an extensive collection of resources online in the book's website, scipython.com. This site has code listings and solutions to exercises. I would readily recommend this book to any student (or even a colleague) who wishes to achieve a solid foundation in Python programming.' Vasudevan Lakshminarayanan, Contemporary Physics

Dewey Edition23

IllustratedYes

Dewey Decimal005.13/3

Table Of Content1. Introduction; 2. The core Python language I; 3. Interlude: simple plotting with pylab; 4. The core Python language II; 5. IPython and IPython notebook; 6. NumPy; 7. Matplotlib; 8. SciPy; 9. General scientific programming; Appendix A. Solutions; Index.

SynopsisLearn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming., Learn to master basic programming tasks from scratch with real-life scientific examples drawn from many different areas of science and engineering. This complete introduction to using Python teaches Numpy, SciPy and Matplotlib libraries and is supported by extensive online resources to provide a targeted package for students and researchers.

LC Classification NumberQ183.9 .H58 2015