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.dev202004240012-py3-none-any.whl (4.1 kB view details)

Uploaded Python 3

File details

Details for the file arcus_ml-1.0.3.dev202004240012-py3-none-any.whl.

File metadata

  • Download URL: arcus_ml-1.0.3.dev202004240012-py3-none-any.whl
  • Upload date:
  • Size: 4.1 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-1.0.3.dev202004240012-py3-none-any.whl
Algorithm Hash digest
SHA256 37f80d8430a451732b99197b50a157cabb6c88b892ac5a561f0fda3af6b91c9b
MD5 a0b13a3c08f0786ac3650780f9c3722b
BLAKE2b-256 f4dbee57170f417be1c5e1f6f10c0562837c7448593206af3c6162d24a98361c

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