000 | 01819nam a22003017a 4500 | ||
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001 | 0077702 | ||
003 | BD-SySUS | ||
005 | 20230725170907.0 | ||
008 | 221129t20192019ne a b 001 0 eng | ||
020 |
_a9780128134917 _q(Paperback) |
||
020 |
_z9780128134924 _q(eBook) |
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040 |
_aDLC _beng _cDLC _erda _dDLC _dBD-SySUS |
||
082 |
_222 _a551.46028 _bWIM |
||
100 | 1 |
_aWilson, Richard _eauthor. _962879 |
|
245 | 1 | 0 |
_aMastering deep learning fundamentals with python : _bthe Absolute ultimate guide for beginner's to expert and step by step guide to understand python / _cRichard Wilson, |
264 | 1 |
_aAmsterdam, Netherlands : _bElsevier, _c[2019] |
|
264 | 4 | _c� 2019. | |
300 |
_a 214 pages ; _billustrations (some color) ; _c23 cm |
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336 |
_atext _btxt _2rdacontent |
||
337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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504 | _aIncludes bibliographical references and index. | ||
520 |
_a"R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic outputs. Each chapter begins with theoretical background that is followed by step-by-step examples of software applications, including scripts, graphics, tables and practical exercises for better understanding of the subject. Examples include frequently used data analysis approaches in physical and chemical oceanography, but also contain topics on data import/export and GIS mapping. The examples seen in book provide uses of the latest versions of Python and R libraries"-- _cProvided by publisher. |
||
650 | 0 |
_aOceanography _xStatistical methods. _962880 |
|
650 | 0 |
_aR (Computer program language) _962881 |
|
650 | 0 |
_aPython (Computer program language) _962882 |
|
942 |
_2ddc _cBK |
||
999 |
_c84897 _d84897 |