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-1.0.7a2020051203-py3-none-any.whl (2.3 kB view details)

Uploaded Python 3

File details

Details for the file arcus_ml-1.0.7a2020051203-py3-none-any.whl.

File metadata

  • Download URL: arcus_ml-1.0.7a2020051203-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/46.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for arcus_ml-1.0.7a2020051203-py3-none-any.whl
Algorithm Hash digest
SHA256 1d7c5f6318eecc2968bb8264090dacd109abc82d4427365002e44188338c77f6
MD5 7ea5a38bb6b9201b41d5316c32ae65d3
BLAKE2b-256 f01fdaafa1ac357414f1f74f3508b72c27f03dbdb2b3a2104c817391f07756af

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