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dref

Packages that use dref

Developer Guide

Setup

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

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

Install

pip install -e .

# install from pypi
pip install dref

nbdev

# activate conda environment
$ conda activate dref

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

# make changes under nbs/ directory
# ...

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

or from conda

$ conda install -c dsm-72 dref

or from pypi

$ pip install dref

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

Metadata

Release files for dref 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dref 0.0.1
File Size Uploaded
dref-0.0.1.tar.gz 9.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for dref 0.0.1
File Interpreter ABI Platform
dref-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 17.8 kB

Release files / dref-0.0.1.tar.gz

Download URL dref-0.0.1.tar.gz
Size 9.0 kB
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5ddf955bcb54c80281f07c0008b6148df855a14b756492bd23d515a19dceee4e
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Uploaded via twine/4.0.2 CPython/3.11.4

Release files / dref-0.0.1-py3-none-any.whl

Download URL dref-0.0.1-py3-none-any.whl
Size 8.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
45e5cd851da90b940fe8dca7b81ab1c263cdbb6dbe37ab5404f1364b5ea5a121
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How to use checksums
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What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

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This release

0.0.1 This release

2 release files

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