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.dev202004240018-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file arcus_ml-1.0.0.dev202004240018-py3-none-any.whl.

File metadata

  • Download URL: arcus_ml-1.0.0.dev202004240018-py3-none-any.whl
  • Upload date:
  • Size: 3.1 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.dev202004240018-py3-none-any.whl
Algorithm Hash digest
SHA256 a5b6ef3c80fe1877f3a547f1c20a24262f650ea1f3f97726f4daf65ce0733ee3
MD5 07667985c6fced51d11bbf534a668a82
BLAKE2b-256 6e2bcbf42280a27886f1a306f0c8254f202a3afc82afa4b5818d73a0036e6d6e

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