Nanohubtools

A set of tools/apps to run on nanohub

Installation

pip install nanohubtools

Usage

import nanohubtools as nt
auth_data = {
  'client_id': XXXXXXXX,
  'client_secret': XXXXXXXX,
  'grant_type': 'password',
  'username': XXXXXXXX,
  'password': XXXXXXXX
}

# to get username and password, register on nanohub.org (https://nanohub.org/register/)
# to get client id and secret, create a web application (https://nanohub.org/developer/api/applications/new), use "https://127.0.0.1" as Redirect URL

tool = nt.Qdotexplorer(auth_data, parameters={'Number of States'}, modal=True, mode='split-right')

# modal defines if the container outputs to use FloatView or standard ipywidgets Output
# mode defines the positions of new windows of Floatview is enabled

tool.loadExperiment('IDSESSION') If an experiment was created befores

Available Nanohub Tools

BravaisViewerSimplified, supported by Crystal Viewer Tool

    nt.CrystalViewerConstructor(auth_data, modal=False)

CrystalViewerSimplified, supported by Crystal Viewer Tool

    nt.CrystalViewerConstructor(auth_data, modal=False)

CrystalLab, supported by Crystal Viewer Tool

    nt.CrystalLab(auth_data)

CrystalLab

CrystalViewerMaterial, supported by Crystal Viewer Tool

    nt.CrystalViewerMaterial(auth_data, modal=False)

CrystalViewerMaterial

CrystalViewerBravais, supported by Crystal Viewer Tool

    nt.CrystalViewerBravais(auth_data, modal=False)

CrystalViewerBravais

CrystalViewerConstructor, supported by Crystal Viewer Tool

    nt.CrystalViewerConstructor(auth_data, modal=False)

SimpleQuantumDot, supported by Quantum Dot Lab

    nt.SimpleQuantumDot(auth_data, modal=False)

SimpleQuantumDot

StackedQuantumDot, supported by Quantum Dot Lab

    nt.StackedQuantumDot(auth_data, modal=False)

PNToy, supported by [PN Junction Lab] (https://nanohub.org/resources/pntoy)

    nt.PNToy(auth_data, modal=False)

PNToy

Driftdiffusionlab, supported by [Drift-Diffusion Lab] (https://nanohub.org/resources/semi)

    nt.Driftdiffusionlab(auth_data, modal=False)

Driftdiffusionlab

DFTExplorer, supported by [DFT calculations with Quantum ESPRESSO] (https://nanohub.org/resources/dftqe)

    nt.DFTExplorer(auth_data, modal=False)

DFTExplorer

Metadata

Release files for nanohubtools 0.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nanohubtools 0.2.3
File	Size	Uploaded
nanohubtools-0.2.3.tar.gz	733.8 kB	Nov 15, 2019	Details

Built distribution (wheel)

Table of built distributions (wheels) for nanohubtools 0.2.3
File	Interpreter	ABI	Platform	Reset
nanohubtools-0.2.3-py2.py3-none-any.whl 1.4 MB Nov 15, 2019	Python 3, Python 2	none	any	Details

Total release size: 2.1 MB

Release files / nanohubtools-0.2.3.tar.gz

Download URL	nanohubtools-0.2.3.tar.gz
Size	733.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`930a951d11e47962748441ba4ea8171774d5374b97ade0d8272b83934bbfcf7e`
BLAKE2b-256 checksum How to use checksums	`d1e60756e345f2fcc355331b7472b7a7f9ea14028f2a02ef55d0cf1ee126f186`
Upload date	Nov 15, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.15rc1`

Release files / nanohubtools-0.2.3-py2.py3-none-any.whl

Download URL	nanohubtools-0.2.3-py2.py3-none-any.whl
Size	1.4 MB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`2b0eb8f7044a3dc86da02008d9bbdc3ab8006057982e4da443b01bd1b86e7216`
BLAKE2b-256 checksum How to use checksums	`a77e96db767385da681a77e6f594a92eb6d4a87c6a859fc0ac7f4ed673d0db10`
Upload date	Nov 15, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.15rc1`