jstr

Packages that use jstr

Developer Guide

Setup

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

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

Install

pip install -e .

# install from pypi
pip install jstr

nbdev

# activate conda environment
$ conda activate jstr

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

# make changes under nbs/ directory
# ...

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

or from conda

$ conda install -c dsm-72 jstr

or from pypi

$ pip install jstr

Documentation

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

A = Alias

C = ClassVar

Q = Optional

E = (Over)-Engineered

Z = Custom

R = Rich

P = Plot

D = Data

B = Bio

M = Machine Learning