001019180 001__ 1019180
001019180 005__ 20250822121514.0
001019180 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-05226
001019180 037__ $$aFZJ-2023-05226
001019180 041__ $$aEnglish
001019180 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0$$eCorresponding author$$ufzj
001019180 1112_ $$aJSC - as part of the Training Programme of Forschungszentrum Jülich$$conline$$d2023-09-04 - 2023-09-04$$wGermany
001019180 245__ $$aData Analysis and Plotting in Python with Pandas
001019180 260__ $$c2023
001019180 3367_ $$2DRIVER$$alecture
001019180 3367_ $$031$$2EndNote$$aGeneric
001019180 3367_ $$2BibTeX$$aMISC
001019180 3367_ $$0PUB:(DE-HGF)17$$2PUB:(DE-HGF)$$aLecture$$blecture$$mlecture$$s1702968929_18144$$xOther
001019180 3367_ $$2ORCID$$aLECTURE_SPEECH
001019180 3367_ $$2DataCite$$aText
001019180 500__ $$aMaterial can also be found at https://herten1.pages.jsc.fz-juelich.de/jsc-pandas-introduction/
001019180 520__ $$aPandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualisation (and much more, actually). It builds up on established Python packages and can be used interchangeably with them (like Numpy, matplotlib); it fits perfectly into the Jupyter Notebooks workflow of modern-day data analysis. This course introduces Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.
001019180 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001019180 536__ $$0G:(DE-Juel-1)ATML-X-DEV$$aATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV)$$cATML-X-DEV$$x1
001019180 8564_ $$uhttps://indico3-jsc.fz-juelich.de/event/108/
001019180 8564_ $$uhttps://juser.fz-juelich.de/record/1019180/files/Introduction-to-Pandas--slides.pdf$$yOpenAccess
001019180 8564_ $$uhttps://juser.fz-juelich.de/record/1019180/files/Introduction-to-Pandas--slides.gif?subformat=icon$$xicon$$yOpenAccess
001019180 8564_ $$uhttps://juser.fz-juelich.de/record/1019180/files/Introduction-to-Pandas--slides.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001019180 8564_ $$uhttps://juser.fz-juelich.de/record/1019180/files/Introduction-to-Pandas--slides.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001019180 8564_ $$uhttps://juser.fz-juelich.de/record/1019180/files/Introduction-to-Pandas--slides.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001019180 909CO $$ooai:juser.fz-juelich.de:1019180$$pdriver$$pVDB$$popen_access$$popenaire
001019180 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145478$$aForschungszentrum Jülich$$b0$$kFZJ
001019180 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001019180 9141_ $$y2023
001019180 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001019180 920__ $$lyes
001019180 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001019180 980__ $$alecture
001019180 980__ $$aVDB
001019180 980__ $$aUNRESTRICTED
001019180 980__ $$aI:(DE-Juel1)JSC-20090406
001019180 9801_ $$aFullTexts