Skip to main content

Library for Quantum Data file Organization

Project description

qdatalib

Note this project is under development, and will undergo a massive number of breaking changes

###TODO

  • better naming
  • export to csv
  • better handling of not existing files

Description

QDataLib is a library of wrappers around some of the most useful ”data”-functions in QCoDeS. The Idea of QDataLib is to keep track of your data files using a MongoDB database, and ease the export to other file formats than SQLite

Installation

To install QDataLib from source do the following:

$ git clone https://github.com/qdev-dk/QDataLib.git
$ cd QDataLib
$ pip install .

Usage

see here

Running the tests

If you have gotten 'qdatalib' from source, you may run the tests locally.

Install qdatalib along with its test dependencies into your virtual environment by executing the following in the root folder

$ pip install .
$ pip install -r test_requirements.txt

Then run pytest in the tests folder.

Building the documentation

If you have gotten qdatalib from source, you may build the docs locally.

Install qdatalib along with its documentation dependencies into your virtual environment by executing the following in the root folder

$ pip install .
$ pip install -r docs_requirements.txt

You also need to install pandoc. If you are using conda, that can be achieved by

$ conda install pandoc

else, see here for pandoc's installation instructions.

Then run make html in the docs folder. The next time you build the documentation, remember to run make clean before you run make html.

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

qdatalib-0.1.0.tar.gz (23.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qdatalib-0.1.0-py3-none-any.whl (8.9 kB view details)

Uploaded Python 3

File details

Details for the file qdatalib-0.1.0.tar.gz.

File metadata

  • Download URL: qdatalib-0.1.0.tar.gz
  • Upload date:
  • Size: 23.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.7

File hashes

Hashes for qdatalib-0.1.0.tar.gz
Algorithm Hash digest
SHA256 e34ad904082ec53a72ef6151778f638207bfbd7168646fef1c9f026e4bb2aacb
MD5 6a05d970c9d757ec0106016ab54bfb8c
BLAKE2b-256 96846a2ac43d1fd97194e964f7bcc23ef939b7e9dd479cab6f35b4fe57bbd68a

See more details on using hashes here.

File details

Details for the file qdatalib-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: qdatalib-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.7

File hashes

Hashes for qdatalib-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 059fd3d8aaf30f79acc6cf23e1c137e113118949bea07e4532ca2494cd963909
MD5 f6acaa0c8c2713255f58757b6ae2fbcf
BLAKE2b-256 14ff6469b25c4982b6ad29f331e692130e736ed41d8ae86954165a73d9f942ba

See more details on using hashes here.

Supported by

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