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010   $a3-030-78055-4
024 7 $a10.1007/978-3-030-78055-5
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035   $a(MiAaPQ)EBC6728944
035   $a(Au-PeEL)EBL6728944
035   $a(OCoLC)1268441221
035   $a(PPN)258054794
035   $a(DE-He213)978-3-030-78055-5
035   $a(EXLCZ)994100000012027335
100   $a20210916d2021      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntroduction to Python in Earth Science Data Analysis $eFrom Descriptive Statistics to Machine Learning /$fby Maurizio Petrelli
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (229 pages)
225 1 $aSpringer Textbooks in Earth Sciences, Geography and Environment,$x2510-1315
311 08$a3-030-78054-6 
327   $aPart I Python for Geologists, a kick-off -- Setting Up Your Python Environment, Easily -- Python Essentials for a Geologist -- Start Solving Geological Problems Using Python -- Part II Describing Geological Data -- Graphical Visualization of a Geological Dataset -- Descriptive Statistics -- Part III Integrals and Differential Equations in Geology -- Numerical Integration -- Ordinary Differential Equations (ODE) -- Partial Differential Equations (PDE) -- Part IV Probability Density Functions and Error Analysis -- Probability Density Functions and their Use in Geology -- Error Analysis -- Part V Robust Statistics and Machine Learning -- Introduction to Robust Statistics -- 12. Machine Learning.
330   $aThis textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.
410  0$aSpringer Textbooks in Earth Sciences, Geography and Environment,$x2510-1315
606   $aPhysical geography
606   $aComputer simulation
606   $aStatistics
606   $aEarth System Sciences
606   $aComputer Modelling
606   $aApplied Statistics
615  0$aPhysical geography.
615  0$aComputer simulation.
615  0$aStatistics.
615 14$aEarth System Sciences.
615 24$aComputer Modelling.
615 24$aApplied Statistics.
676   $a550.285
700   $aPetrelli$b Maurizio$01024610
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910502625203321
996   $aIntroduction to Python in Earth Science Data Analysis$92556807
997   $aUNINA