TY  - GEN
AU  - Herten, Andreas
TI  - Data Analysis and Plotting in Python with Pandas
M1  - FZJ-2023-05226
PY  - 2023
N1  - Material can also be found at https://herten1.pages.jsc.fz-juelich.de/jsc-pandas-introduction/
AB  - Pandas 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.
T2  - JSC - as part of the Training Programme of Forschungszentrum Jülich
CY  - 4 Sep 2023 - 4 Sep 2023, online (Germany)
Y2  - 4 Sep 2023 - 4 Sep 2023
M2  - online, Germany
LB  - PUB:(DE-HGF)17
DO  - DOI:10.34734/FZJ-2023-05226
UR  - https://juser.fz-juelich.de/record/1019180
ER  -