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-1.0.3.dev202004290033-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file arcus_ml-1.0.3.dev202004290033-py3-none-any.whl.

File metadata

  • Download URL: arcus_ml-1.0.3.dev202004290033-py3-none-any.whl
  • Upload date:
  • Size: 7.3 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-1.0.3.dev202004290033-py3-none-any.whl
Algorithm Hash digest
SHA256 5a01afc99dff2bd55b54bd7e0679fcdb2d6f12adf890d2a15b4b3337385ef7e4
MD5 dc98e0dc922930baf9908ddfe87c1f98
BLAKE2b-256 501619e3bfed1bf6173910fed172e373850e5e5538d859ae9d09d58e4df0504e

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