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000903673 037__ $$aFZJ-2021-05322
000903673 041__ $$aEnglish
000903673 1001_ $$0P:(DE-Juel1)145478$$aHerten, Andreas$$b0$$eCorresponding author$$ufzj
000903673 1112_ $$aJSC as part of the training programme of Forschungszentrum Jülich$$conline$$d2021-05-27 - 2021-05-27$$wGermany
000903673 245__ $$aData Analysis and Plotting in Python with Pandas
000903673 260__ $$c2021
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000903673 520__ $$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.The course will introduce Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.
000903673 536__ $$0G:(DE-HGF)POF4-5121$$a5121 - Supercomputing & Big Data Facilities (POF4-512)$$cPOF4-512$$fPOF IV$$x0
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000903673 8564_ $$uhttps://herten1.pages.jsc.fz-juelich.de/jsc-pandas-introduction/
000903673 8564_ $$uhttps://juser.fz-juelich.de/record/903673/files/Introduction-to-Pandas--slides%20%28HTML%29.html$$yOpenAccess
000903673 8564_ $$uhttps://juser.fz-juelich.de/record/903673/files/Introduction-to-Pandas--slides.pdf$$yOpenAccess
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000903673 9141_ $$y2021
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