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-0.0.45.tar.gz (45.8 kB view details)

Uploaded Source

Built Distribution

quac-0.0.45-py3-none-any.whl (49.1 kB view details)

Uploaded Python 3

File details

Details for the file quac-0.0.45.tar.gz.

File metadata

  • Download URL: quac-0.0.45.tar.gz
  • Upload date:
  • Size: 45.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quac-0.0.45.tar.gz
Algorithm Hash digest
SHA256 0d91ce179721ee463ebe9e36c25b0ab4a9432ebc6030035a81e083a2b921d823
MD5 cab4f06f3ced199bf1ffe78fed9615bb
BLAKE2b-256 a5114cd2b7ba9d9d20aaddbab8f2d8639c4e43b6d0e9dd1a6cd7135ca5a2a434

See more details on using hashes here.

File details

Details for the file quac-0.0.45-py3-none-any.whl.

File metadata

  • Download URL: quac-0.0.45-py3-none-any.whl
  • Upload date:
  • Size: 49.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for quac-0.0.45-py3-none-any.whl
Algorithm Hash digest
SHA256 44fde12c117053e1999283e3db62998c4d3e20161ce92d3b55cdc69b12ee26ac
MD5 9c0107e24f494e0d9e8829ec6bbda960
BLAKE2b-256 4ef769039498922e65c1441a52785f532e2626f4dcd8f4a54f082c4182d4b638

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