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@MISC{Herten:903673,
      author       = {Herten, Andreas},
      title        = {{D}ata {A}nalysis and {P}lotting in {P}ython with {P}andas},
      reportid     = {FZJ-2021-05322},
      year         = {2021},
      abstract     = {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.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.},
      month         = {May},
      date          = {2021-05-27},
      organization  = {JSC as part of the training programme
                       of Forschungszentrum Jülich, online
                       (Germany), 27 May 2021 - 27 May 2021},
      subtyp        = {Other},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5121 - Supercomputing $\&$ Big Data Facilities (POF4-512) /
                      ATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV)},
      pid          = {G:(DE-HGF)POF4-5121 / G:(DE-Juel-1)ATML-X-DEV},
      typ          = {PUB:(DE-HGF)17},
      url          = {https://juser.fz-juelich.de/record/903673},
}