Skip to main content

Flexible and powerful data analysis / manipulation library for Python on top of SQL, providing labeled data structures.

Project description

liebres

PyPI Read the Docs Travis (.org) branch Codecov GitHub GitHub stars

Description

Flexible and powerful data analysis / manipulation library for Python on top of SQL, providing labeled data structures.

IMPORTANT: This project is still under its early stage of development. So it's not recommended yet to use on real world projects.

How to install

pip install liebres

Getting Started

import liebres as lb

df = lb.DataFrame({'a': [1, 2, 3], 'b': [4, 5, 6]})

...

Documentation

You can find the documentation at: https://liebres.readthedocs.io

Development

You can install it simply typing:

pipenv install --dev

To run the tests perform:

pipenv python -m unittest discover tests

Repository Contents

[TODO]

LICENSE

This project is licensed under MIT license.

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

liebres-0.0.1.tar.gz (5.7 kB view details)

Uploaded Source

Built Distribution

liebres-0.0.1-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file liebres-0.0.1.tar.gz.

File metadata

  • Download URL: liebres-0.0.1.tar.gz
  • Upload date:
  • Size: 5.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.8.0

File hashes

Hashes for liebres-0.0.1.tar.gz
Algorithm Hash digest
SHA256 d9523c2c37f5c17ac9a7d5f2a4f9c585a4822418676084dfd63774beff703fc1
MD5 ea96da118a7f387fb4e50d486f674a31
BLAKE2b-256 9109ce69cc6a2583f4c8bae29a03e244366de6cfc51dcd629e1b1e95316cb14f

See more details on using hashes here.

File details

Details for the file liebres-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: liebres-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 7.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.8.0

File hashes

Hashes for liebres-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0db698986c8bfcba481ea6a04e55b8f2d5977deabb562ecb72d47c4fc7dbb30d
MD5 ce3e8346a1dbed5382027049809f9688
BLAKE2b-256 f4cc47200ca3d74373eb47751b7b8912cb0c588ab2fcacf83fd0e318bc0afbfc

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