000 | 01709nam a22003017a 4500 | ||
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003 | OSt | ||
005 | 20250212142152.0 | ||
008 | 231124b |||||||| |||| 00| 0 eng d | ||
020 |
_a9783030780579 (pbk.) _c€ 59.99 |
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040 |
_bENG _cIISER-BPR |
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041 | _aENG | ||
082 |
_a550.285 _bPET _223rd |
||
100 |
_aPetrelli, Maurizio _92844 |
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222 | _aEarth and Environmental Sciences | ||
245 |
_aIntroduction to python in earth science data analysis : _bFrom descriptive statistics to machine learning |
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250 | _a1st. ed | ||
260 |
_aSwitzerland: _bSpringer, _cc2021. |
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300 |
_axv, 239p. : _bill. ; _c22cm. |
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504 | _aIncludes appendices, subject Index and further readings. | ||
520 | _aThis textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book. | ||
650 |
_aEarth Science _92845 |
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650 |
_aComputer applications _92846 |
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650 |
_aData Analysis _92847 |
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650 |
_aDescriptive Statistics _92848 |
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650 |
_aMachine Learning _92849 |
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650 |
_aPython _92850 |
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942 |
_2ddc _cBK _02 |
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999 |
_c3170 _d3170 |