000			01831nam a22003137a 4500
001			sulb0077494
003			BD-SySUS
005			20221129120830.0
008			221129t20192019ne a b 001 0 eng
020			_a9780128134917 _q(Paperback)
020			_z9780128134924 _q(eBook)
040			_aDLC _beng _cDLC _erda _dDLC _dBD-SySUS
082			_222 _a551.46028 _bALR
100	1		_aAlyuruk, Hakan, _eauthor. _936038
245	1	0	_aR and Python for oceanographers : _ba practical guide with applications / _cHakan Alyuruk, Institute of Marine Sciences and Technology, Dokuz Eylul University, Turkey.
250			_aFirst Edition.
264		1	_aAmsterdam, Netherlands : _bElsevier, _c[2019]
264		4	_c� 2019.
300			_avi, 180 pages : _billustrations (some color) ; _c23 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
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.
650		0	_aR (Computer program language)
650		0	_aPython (Computer program language)
942			_2ddc _cBK
999			_c82791 _d82791