Skip to main content

quac

Project description

quac

Developer Guide

Setup

# create conda environment
$ mamba env create -f env.yml

# update conda environment
$ mamba env update -n quac --file env.yml

Install

pip install -e .

# install from pypi
pip install quac

nbdev

# activate conda environment
$ conda activate quac

# make sure the quac package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to the quac package
$ nbdev_prepare

Publishing

# publish to pypi
$ nbdev_pypi

# publish to conda
$ nbdev_conda --build_args '-c conda-forge'
$ nbdev_conda --mambabuild --build_args '-c conda-forge -c dsm-72'

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/dsm-72/quac.git

or from conda

$ conda install -c dsm-72 quac

or from pypi

$ pip install quac

Documentation

Documentation can be found hosted on GitHub repository pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

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

quac-0.0.4.tar.gz (39.5 kB view details)

Uploaded Source

Built Distribution

quac-0.0.4-py3-none-any.whl (43.1 kB view details)

Uploaded Python 3

File details

Details for the file quac-0.0.4.tar.gz.

File metadata

  • Download URL: quac-0.0.4.tar.gz
  • Upload date:
  • Size: 39.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quac-0.0.4.tar.gz
Algorithm Hash digest
SHA256 717d9afcf681ece41060a89ac5dcc2f82705cb07d5822ca670d2608e8fbaa2c0
MD5 9d41408bfb9e3fb3040127a2eba49e8e
BLAKE2b-256 1b2baaadc03773641315008686ed0b2c629009720fd07ac737a200414fb0dc3f

See more details on using hashes here.

File details

Details for the file quac-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: quac-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 43.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quac-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 284b6f8ab8bad188b7ae5616497ea91b980d32799ca219aa9d0ccf23cfadf035
MD5 989e013eac38686b4c850842973b61a1
BLAKE2b-256 e55eef2042638d626c363ac6d0a6d3c1a5efaff8f6403dd71672632b6c833063

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