Skip to main content

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

Project description

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

Docs

Documentation Build Status Docs Check Status

Tests

Linux Test Status Windows Test Status macOS Test Status Coverage

PyPI

PyPI - Package Version PyPI - Supported Python Versions PyPI - Supported Implementations PyPI - Wheel

Anaconda

Conda - Package Version Conda - Platform

Activity

GitHub last commit GitHub commits since tagged version Maintenance PyPI - Downloads

QA

CodeFactor Grade Flake8 Status mypy status

Other

License GitHub top language Requirements Status

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


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-1.0.0.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dom_toml-1.0.0-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file dom_toml-1.0.0.tar.gz.

File metadata

  • Download URL: dom_toml-1.0.0.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for dom_toml-1.0.0.tar.gz
Algorithm Hash digest
SHA256 2b8d4d1cdbca1839a4ef8582719ed9023410b7ae93094166d57a5bcbdfe2e305
MD5 66f60d2b83ebc48da1d35d85ec03c082
BLAKE2b-256 357afdfbded228334f07a4b0526bd0df14553fcb2701b529d11686a7864bd6bd

See more details on using hashes here.

File details

Details for the file dom_toml-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: dom_toml-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 11.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for dom_toml-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b20e66b191a6e41efdb4b8849db0ece42b798b511e7d099130691e121ef56d42
MD5 c95cff1c44df3a542aab220f616cb4ed
BLAKE2b-256 65b87a0190386e9541a5f3e1a4e7bf9a4f1e08ae62eadfa8eff27d518572365d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page