Skip to main content

mstar

Project description

mstar

Developer Guide

Setup

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

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

Install

pip install -e .

# install from pypi
pip install bnx

nbdev

# activate conda environment
$ conda activate bnx

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

# make changes under nbs/ directory
# ...

# compile to have changes apply to the bnx 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/bnx.git

or from conda

$ conda install -c dsm-72 bnx

or from pypi

$ pip install bnx

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

mstar-0.0.2.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

mstar-0.0.2-py3-none-any.whl (9.8 kB view details)

Uploaded Python 3

File details

Details for the file mstar-0.0.2.tar.gz.

File metadata

  • Download URL: mstar-0.0.2.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for mstar-0.0.2.tar.gz
Algorithm Hash digest
SHA256 02d6966ed77bdfeead8df0e90b57a12ea7b19a80f0bbb3d74a3f6d6c7be00600
MD5 5f0289f35325ae663be9fb10ca88645a
BLAKE2b-256 4c122f151fb5d735e29b9a0a1135e7d370d949edc953cc5b18373781fa37dd81

See more details on using hashes here.

File details

Details for the file mstar-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: mstar-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 9.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for mstar-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bf84e7e18a83bb2d4334092f287f064f9a58a1e201bb6fee55f3b95debacddde
MD5 c3feb77ae70bb85e5ca752bbed468b0c
BLAKE2b-256 ce72a07dcfb772ca41b87d9c834a4c0b01e73757c4364bdb0aabab778c5a3a0d

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