Skip to main content

xst

Project description

xst

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

xst-0.0.5.tar.gz (10.2 kB view details)

Uploaded Source

Built Distribution

xst-0.0.5-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file xst-0.0.5.tar.gz.

File metadata

  • Download URL: xst-0.0.5.tar.gz
  • Upload date:
  • Size: 10.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for xst-0.0.5.tar.gz
Algorithm Hash digest
SHA256 6756116b9610e7b864625ee0d50fe0f5d91fa519b3130369440819ae72f83e5b
MD5 49d342ca952dc6b7528897186b0cd70f
BLAKE2b-256 ce322af2d0bcbb6495c81f07c9a48d735d5452f8e7d96353f02855dca4242d17

See more details on using hashes here.

Provenance

File details

Details for the file xst-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: xst-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 10.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for xst-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 de2acd69eaed5d8970202d405cd4e79c0717e92679574cdb908c7552b07d8805
MD5 d6077c6d9d3a3288ab953e033def554f
BLAKE2b-256 a6be11e6c98bd3ab8d5d6a6931e2bd67bee0373cde795eef0d9f010557c07823

See more details on using hashes here.

Provenance

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