Skip to main content

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/)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

PhyPraKit-1.2.3b0.tar.gz (53.2 kB view details)

Uploaded Source

Built Distribution

PhyPraKit-1.2.3b0-py3-none-any.whl (66.4 kB view details)

Uploaded Python 3

File details

Details for the file PhyPraKit-1.2.3b0.tar.gz.

File metadata

  • Download URL: PhyPraKit-1.2.3b0.tar.gz
  • Upload date:
  • Size: 53.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for PhyPraKit-1.2.3b0.tar.gz
Algorithm Hash digest
SHA256 c2831da5f27301cb6557b222253e3d06535ce7d85541015f2dbdc1bf0cfbe2a3
MD5 6343f829cb2de58efd1ecb368f0df00f
BLAKE2b-256 0b079db7331eae6c2580fda546e687e8d22c5b1d13e3cf30537aaf0c70e4de8c

See more details on using hashes here.

File details

Details for the file PhyPraKit-1.2.3b0-py3-none-any.whl.

File metadata

  • Download URL: PhyPraKit-1.2.3b0-py3-none-any.whl
  • Upload date:
  • Size: 66.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for PhyPraKit-1.2.3b0-py3-none-any.whl
Algorithm Hash digest
SHA256 12bf506efa1987ee40ec6362053309ee1328a9e981aaf4bc28bda9a44c816c81
MD5 0e6660216e2cbd61f415f49a911b66a0
BLAKE2b-256 ea848d6f4ed1a900b2aa1dc3212665bb1977ab5391f28468e73d429a9983bf38

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page