03638nam 22006015 450 991104922080332120260102120820.03-032-00721-610.1007/978-3-032-00721-6(CKB)44769977900041(MiAaPQ)EBC32484389(Au-PeEL)EBL32484389(DE-He213)978-3-032-00721-6(EXLCZ)994476997790004120260102d2026 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierOpen Source Tools for Physics Data Analysis An Introduction /by Sebastiano Vasi, Ulderico Wanderlingh, Giuseppe Mandaglio1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (272 pages)Undergraduate Texts in Physics,2510-41283-032-00723-2 3-032-00720-8 Introduction -- Operative systems and Linux Shells -- Rudimental in programming -- Why Object Oriented programming -- Analysis Framework -- Data elaboration and visualization -- Experimental data acquisition and analysis.This textbook aims to provide computing skills to analyze data collected by means of several types of experiments. Generally speaking, the analysis of data is complementary to experimental and/or theoretical activities, but, as a matter of fact, a fundamental part of the training process in scientific degree courses (such as physics, mathematics, chemistry, biology, and engineering) consists in different laboratory activities, collecting data and then analyzing and interpreting them. Different analysis tools are available for this purpose, including commercial and open-sources ones. Some of them allow to analyze data in a user-friendly manner, and it can be helpful for the first approach for a student to a data analysis problem, but, at the same time, it represents a limit on the real possibility that students can achieve by using the computation potentiality offered by a good knowledge of programming languages. For this reason, at least a computing course is generally present in scientific degree courses, as well as in experimental laboratories in which part of the training time is devoted to analyze and visualize data. Part of the book is devoted to furnish the rudiments of programming in C++, Python, and other open-source languages. In the second part, Root, a powerful and open-source data analysis framework, and the universe of the Python libraries will be introduced as a complete tool for data analysis, as well as their application and examples regarding physics experiments performed in laboratories.Undergraduate Texts in Physics,2510-4128Mathematical physicsComputer simulationOpen source softwareQuantitative researchComputational Physics and SimulationsOpen SourceData Analysis and Big DataMathematical physics.Computer simulation.Open source software.Quantitative research.Computational Physics and Simulations.Open Source.Data Analysis and Big Data.530.10285Vasi Sebastiano1889999MiAaPQMiAaPQMiAaPQBOOK9911049220803321Open Source Tools for Physics Data Analysis4531546UNINA