01074nam0 22002411i 450 UON0019048020231205103212.69520030730d1994 |0itac50 baengGB|||| ||||| Presidents Vs. prime Ministers: executive authority in eastern EuropeBaylis Thomas AGlasgowUniversity of Strathclyde1994. 22 p. ; 21 cm.001UON001726262001 Studies in Public Policy210 GlasgowUniversity of Strathclyde.238Europa orientalePolitica e governoUONC039267FIGBGlasgowUONL000785BAYLISThomas A.UONV111983544785ITSOL20251003RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00190480SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI B C 0208 SI SC 28553 5 0208 BuonoPresidents Vs. prime Ministers: executive authority in eastern Europe1293091UNIOR03321nam 22005895 450 991050262520332120251113185101.03-030-78055-410.1007/978-3-030-78055-5(CKB)4100000012027335(MiAaPQ)EBC6728944(Au-PeEL)EBL6728944(OCoLC)1268441221(PPN)258054794(DE-He213)978-3-030-78055-5(EXLCZ)99410000001202733520210916d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntroduction to Python in Earth Science Data Analysis From Descriptive Statistics to Machine Learning /by Maurizio Petrelli1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (229 pages)Springer Textbooks in Earth Sciences, Geography and Environment,2510-13153-030-78054-6 Part 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.This 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.Springer Textbooks in Earth Sciences, Geography and Environment,2510-1315Physical geographyComputer simulationStatisticsEarth System SciencesComputer ModellingApplied StatisticsPhysical geography.Computer simulation.Statistics.Earth System Sciences.Computer Modelling.Applied Statistics.550.285Petrelli Maurizio1024610MiAaPQMiAaPQMiAaPQBOOK9910502625203321Introduction to Python in Earth Science Data Analysis2556807UNINA