Skip to main content

Tools for data visualisation and analysis in Physics Lab Courses

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 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-1.2.7.tar.gz (92.8 kB view details)

Uploaded Source

Built Distribution

PhyPraKit-1.2.7-py3-none-any.whl (83.8 kB view details)

Uploaded Python 3

File details

Details for the file PhyPraKit-1.2.7.tar.gz.

File metadata

  • Download URL: PhyPraKit-1.2.7.tar.gz
  • Upload date:
  • Size: 92.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for PhyPraKit-1.2.7.tar.gz
Algorithm Hash digest
SHA256 809a862b508a71040e6ab80c0ae8c4384c163fba609a27b9dbaf97640339fd46
MD5 249b6003cd6f0f6913c2b853e2e0914f
BLAKE2b-256 cf673675604d5097ca56fda262101e4bb35a1b2109d9547c43e65a8063c5664d

See more details on using hashes here.

File details

Details for the file PhyPraKit-1.2.7-py3-none-any.whl.

File metadata

  • Download URL: PhyPraKit-1.2.7-py3-none-any.whl
  • Upload date:
  • Size: 83.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for PhyPraKit-1.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 bcc2d953033006059ad305ee567d2ec47b132364e12368a33e2df04773cc8695
MD5 598aea305dea9cbf2d72761387cbf0ac
BLAKE2b-256 98aaecda1ee2c378ac0c912ffcb626b0e166040a3e7f171c0910cc3af56a47d2

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