dom-toml

Dom's tools for Tom's Obvious, Minimal Language.

Project description

Dom’s tools for Tom’s Obvious, Minimal Language.

Docs
Tests
PyPI
Anaconda
Activity
QA
Other

Installation

dom_toml can be installed from PyPI or Anaconda.

To install with pip:

$ python -m pip install dom_toml

To install with conda:

First add the required channels

$ conda config --add channels https://conda.anaconda.org/conda-forge
$ conda config --add channels https://conda.anaconda.org/domdfcoding

Then install

$ conda install dom_toml

Project details

Release history Release notifications | RSS feed

This version

0.6.0

Apr 28, 2022

0.5.1.post1

Feb 7, 2022

0.5.1

Jan 19, 2022

0.5.0

May 18, 2021

0.4.0

Apr 10, 2021

0.3.1

Apr 2, 2021

0.3.0

Mar 27, 2021

0.2.2

Mar 23, 2021

0.2.1

Mar 22, 2021

0.2.0

Mar 22, 2021

0.1.1

Mar 21, 2021

0.1.0

Mar 21, 2021

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dom_toml-0.6.0.tar.gz (10.0 kB view hashes)

Uploaded Apr 28, 2022 source

Built Distribution

dom_toml-0.6.0-py3-none-any.whl (12.3 kB view hashes)

Uploaded Apr 28, 2022 py3

Hashes for dom_toml-0.6.0.tar.gz

Hashes for dom_toml-0.6.0.tar.gz
Algorithm	Hash digest
SHA256	`6f486ad979ec44814d7c6efb38d46301e100c8ad1a7f3524eca579ce48a0a6bc`
MD5	`064360f645bdabe4edb42049cc35bad9`
BLAKE2-256	`32d9a3d122e15e49575dac75bffac6042b61415ee69730bb4e2628886fb8caf7`

Hashes for dom_toml-0.6.0-py3-none-any.whl

Hashes for dom_toml-0.6.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`6e40b3d4a88db2ef5fe6b433238ca00f4f6ffe34a6de16a9f015cf9122898b20`
MD5	`ee55fbcc84a219de9341bb6f4b9562c9`
BLAKE2-256	`c02a474e480ef216872be48adf41a917eac492397d7b40fd742b4cd5779ec9e8`