Skip to main content

xnbs

Project description

nlit

Developer Guide

Setup

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

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

Install

pip install -e .

# install from pypi
pip install nlit

nbdev

# activate conda environment
$ conda activate nlit

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

# make changes under nbs/ directory
# ...

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

or from conda

$ conda install -c dsm-72 nlit

or from pypi

$ pip install nlit

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

xnbs-0.0.2.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

xnbs-0.0.2-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: xnbs-0.0.2.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for xnbs-0.0.2.tar.gz
Algorithm Hash digest
SHA256 c15c35429c724bef91596dbcdfe53591384969ac9700323491db019c1dcf046f
MD5 f1f263471bb2682b291902d750f8ffd9
BLAKE2b-256 b826c87f14a1eb139ac5ce6401da1b49be54e0a736d1ec8c6f20798eda84da59

See more details on using hashes here.

File details

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

File metadata

  • Download URL: xnbs-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 7.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for xnbs-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 148a703482ff9e9af286872b59fc4c92ffe4607287398bbb859d054cc05b3d69
MD5 786f7c6667fa0175d52af82a77c6260b
BLAKE2b-256 dc76d50fe80c98350b494cd6f27a85d18f18f48ff8c0accf7c4232c00ba915ba

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