Lecture (Other)

FZJ-2023-05226

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Data Analysis and Plotting in Python with Pandas

Herten, A. (Corresponding author)FZJ*

2023

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Please use a persistent id in citations: doi:10.34734/FZJ-2023-05226

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. This course introduces Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.

Note: Material can also be found at https://herten1.pages.jsc.fz-juelich.de/jsc-pandas-introduction/

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. ATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV) (ATML-X-DEV)

Appears in the scientific report 2023

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