Skip to main content

A Python library that provides best practices for Python Machine Learning

Project description

Arcus for Python Learning

This package for Python provides standard best practices for Python development and Machine Learning projects.

Support for

  • Data exploration
  • Dataframe manipulation
  • Algorithm validation

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

arcus_ml-1.0.0.dev202004200010-py3-none-any.whl (2.3 kB view details)

Uploaded Python 3

File details

Details for the file arcus_ml-1.0.0.dev202004200010-py3-none-any.whl.

File metadata

  • Download URL: arcus_ml-1.0.0.dev202004200010-py3-none-any.whl
  • Upload date:
  • Size: 2.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for arcus_ml-1.0.0.dev202004200010-py3-none-any.whl
Algorithm Hash digest
SHA256 46c99fab2b033a405b9182cb0f2d994f3a2a7cd63dae762883a58b21e1f81773
MD5 587cc925978a8f7e3fbeca2bbc45bff7
BLAKE2b-256 23171fac30d8fb42485bb2b1fd8f07cbd8c594bb68864bbd6698a8835e091141

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