G�RARD SWINNEN's Apprendre à programmer avec Python PDF


ISBN-10: 2841772942

ISBN-13: 9782841772940

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Download e-book for kindle: Statistics, Data Mining, and Machine Learning in Astronomy: by Željko Ivezic, Andrew J. Connolly, Jacob T. VanderPlas,

E-book Details:

ISBN: 0691151687
EAN: 9780691151687
ASIN: 0691151687
Publisher: Princeton college Press
Publication Date: 2014-01-12
Number of Pages: 560
Website: Amazon, LibraryThing, Google Books, Goodreads

Synopsis from Amazon:

As telescopes, detectors, and pcs develop ever extra strong, the amount of information on the disposal of astronomers and astrophysicists will input the petabyte area, offering actual measurements for billions of celestial items. This e-book presents a finished and obtainable advent to the state of the art statistical tools had to successfully research advanced facts units from astronomical surveys reminiscent of the Panoramic Survey Telescope and fast reaction process, the darkish power Survey, and the impending huge Synoptic Survey Telescope. It serves as a pragmatic guide for graduate scholars and complicated undergraduates in physics and astronomy, and as an integral reference for researchers.

data, info Mining, and computing device studying in Astronomy provides a wealth of functional research difficulties, evaluates suggestions for fixing them, and explains the right way to use a variety of techniques for various forms and sizes of knowledge units. For all purposes defined within the ebook, Python code and instance facts units are supplied. The aiding info units were conscientiously chosen from modern astronomical surveys (for instance, the Sloan electronic Sky Survey) and are effortless to obtain and use. The accompanying Python code is publicly on hand, good documented, and follows uniform coding criteria. jointly, the information units and code allow readers to breed all of the figures and examples, review the tools, and adapt them to their very own fields of interest.

Describes the main valuable statistical and data-mining tools for extracting wisdom from large and intricate astronomical information units
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makes use of a freely to be had Python codebase all through
perfect for college students and dealing astronomers

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Example text

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Apprendre à programmer avec Python by G�RARD SWINNEN

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