Skip to main content

Educational tool for learning quantum theory with Jupyter Notebooks

Project description

Out-of-the-box outside-of-the-box thinking

BraketLab is a pure Python-code for doing quantum theory in Jupyter Notebooks.

BraketLab is being developed by Audun Skau Hansen (a.s.hansen@kjemi.uio.no) at the Department of Chemistry, Hylleraas Centre for Quantum Molecular Sciences, University of Oslo.

Documentation (in developement)

Documentation on github pages

Installation

Install the BraketLab-module using pip install braketlab from your terminal.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

BraketLab-1.61-py3-none-any.whl (22.5 kB view details)

Uploaded Python 3

File details

Details for the file BraketLab-1.61-py3-none-any.whl.

File metadata

  • Download URL: BraketLab-1.61-py3-none-any.whl
  • Upload date:
  • Size: 22.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.9

File hashes

Hashes for BraketLab-1.61-py3-none-any.whl
Algorithm Hash digest
SHA256 43292b3eaf8b0a4b1e6f0e0b20fdc87e6c80bff3a39370cfe04b9406cf9d9410
MD5 a14868ef8d8631751328c3ae9f838336
BLAKE2b-256 92eb8a460a29322033f2572d91292431118064c2730379f79406f5059ff3595b

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