000915941 001__ 915941
000915941 005__ 20250822121514.0
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000915941 041__ $$aEnglish
000915941 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0$$eCorresponding author$$ufzj
000915941 1112_ $$aJSC as part of the training programme of Forschungszentrum Jülich$$conline$$d2022-05-12 - 2022-05-12
000915941 245__ $$aData Analysis and Plotting in Python with Pandas
000915941 260__ $$c2022
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000915941 520__ $$aPandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualization (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 will introduce Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.
000915941 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000915941 536__ $$0G:(DE-Juel-1)ATML-X-DEV$$aATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV)$$cATML-X-DEV$$x1
000915941 8564_ $$uhttps://juser.fz-juelich.de/record/915941/files/Introduction-to-Pandas--slides.pdf$$yOpenAccess
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000915941 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145478$$aForschungszentrum Jülich$$b0$$kFZJ
000915941 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$$x0
000915941 9141_ $$y2022
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000915941 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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