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 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-1.2.2.tar.gz (48.5 kB view details)

Uploaded Source

Built Distribution

PhyPraKit-1.2.2-py2.py3-none-any.whl (74.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file PhyPraKit-1.2.2.tar.gz.

File metadata

  • Download URL: PhyPraKit-1.2.2.tar.gz
  • Upload date:
  • Size: 48.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for PhyPraKit-1.2.2.tar.gz
Algorithm Hash digest
SHA256 92cd0debe491f388cb6bedc9f16409cf15cfa84658f521929fa128da50d05c68
MD5 4bc37c4c236e2a1857a639436e8dade0
BLAKE2b-256 e5a87172c8b94ef7a0898c21528122ba9a63d7d5ef89bcc487e172fd7a7fb22f

See more details on using hashes here.

File details

Details for the file PhyPraKit-1.2.2-py2.py3-none-any.whl.

File metadata

  • Download URL: PhyPraKit-1.2.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 74.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.10

File hashes

Hashes for PhyPraKit-1.2.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 bbb43cb962b9a6e5c5f67f29d6b55ab46b1649cbcd7996dd5da6c123d418ca4e
MD5 44436ba4b71bce19d109bd99e3959a3a
BLAKE2b-256 d88e971b03d86807c8422242e1ee81507e525ea74bfa5f8175acce074ab9b811

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