Tools for data visualisation and analysis in Physics Lab Courses
Reason this release was yanked:
not yet complete
Project description
About
PhyPraKit is a collection of python modules (supporting python 2.7 (deprecated) and python >=3.6) for data visualization and analysis in experimental laboratory courses in physics, developed at the faculty of physics at Karlsruhe Institute of Technology (KIT). As the modules are intended primarily for use by undergraduate students in Karlsruhe, the documentation is partly in German language, in particular the description of the examples.
Created by:
Guenter Quast <guenter (dot) quast (at) online (dot) de>
Installation:
To use PhyPraKit, it is sufficient to place the the directory PhyPraKit and all the files in it in the same directory as the python scripts importing it.
Installation via pip is also supported. After downloading, execute:
pip install --user .
in the main directory of the PhyPraKit package (where setup.py is located) to install in user space.
The installation using the whl-package provided in the subdirectory dist may also be used:
pip install --user --no-cache PhyPraKit<version>.whl
Installation via the PyPi Python Package Index is also available, simply execute:
pip install --user PhyPraKit
[Documentaion on “Read the Docs”](https://readthedocs.org/projects/phyprakit/)
Übersicht:
PhyPraKit ist eine Sammlung nützlicher Funktionen in der Sprache Python (vers. >=3.6, 2.7 noch für manche Module lauffähig) zum Aufnehmen, zur Bearbeitung, Visualisierung und Auswertung von Daten in den physikalischen Praktika. Die Anwendung der verschiedenen Funktionen des Pakets werden jeweils durch konkrete Beispiele illustriert.
[Dokumentation auf “Read the Docs”](https://readthedocs.org/projects/phyprakit/)
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