Winter Term 2024/25

PhyPraKit is a collection of Python modules for data visualization and analysis in experimental laboratory courses in physics and is in use at the Department of Physics at Karlsruhe Institute of Technology (KIT). As the modules are intended primarily for use by
physics students in Germany, the documentation is partly in German language, in particular the description of the examples.

Full Changelog: v1.2.7...v1.2.8

Summer Term 2024

PhyPraKit is a collection of Python modules for data visualization and analysis in experimental laboratory courses in physics and is in use at the Department of Physics at Karlsruhe Institute of Technology (KIT). As the modules are intended primarily for use by undergraduate students in Germany, the documentation is partly in German language, in particular the description of the examples.

Full Changelog: v1.2.6...v1.2.7

Winter Term 2023/24

PhyPraKit v1.2.6, Oct. 11, 2023 for Winter Term 2023/24

PhyPraKit is a collection of Python modules for data visualization and analysis in experimental laboratory courses in physics and is in use at the Department of Physics at Karlsruhe Institute of Technology (KIT).

v1.2.5 Summer Semester 2023

PhyPraKit v1.2.5, Apr. 11, 2023 for Summer Term 2023 PhyPraKit is a collection of Python modules for data visualization and analysis in experimental laboratory courses in physics and is in use at the Department of Physics at Karlsruhe Institute of Technology (KIT).

Winter Term 2022/23

PhyPraKit version 1.2.3, Oct. 20, 2022 for Winter Term 2022/23

PhyPraKit is a collection of Python modules for data visualization and analysis in experimental laboratory courses
in physics and is in use at the Department of Physics at Karlsruhe Institute of Technology (KIT). As the modules are
intended primarily for use by undergraduate students in Germany, the documentation is partly in German language,
in particular the description of the examples.

Recent additions:

• stand-alone tool run_phyFit.py in subdirectory tools for input data in yaml format
• stand-alone tool plotData.py to plot (xy) and histogram data
• stand-alone tool csv2yml.py to convert data in csv format to yaml

Summer Term 2022

Collection of python modules for data visualization and analysis in physics lab courses.
Recent additions include fitting modules for histograms, simple indexed data or likelihood fits
(based on the iminuit package).