Skip to main content

An efficient Machine Learning Library

Project description

PyPearl is currently in development. PyPearl can handle some basic machine learning, but is not yet optimized. Here's the source code: https://github.com/Brody234/pypearl This description was last edited July 14 2025.

Project details


Download files

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

Source Distribution

pypearl-0.5.1.tar.gz (41.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pypearl-0.5.1-cp312-cp312-macosx_10_9_universal2.whl (103.3 kB view details)

Uploaded CPython 3.12macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file pypearl-0.5.1.tar.gz.

File metadata

  • Download URL: pypearl-0.5.1.tar.gz
  • Upload date:
  • Size: 41.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for pypearl-0.5.1.tar.gz
Algorithm Hash digest
SHA256 3f1c2fd7d25714f067b55a3bd8e7b41b43d1cb55471e21a665665ef5dd0eeac1
MD5 208e187941080992bb8d4b80a9ce38c8
BLAKE2b-256 acb7992d0ded7a0e3d44dc4389a1405ddb47d7a0c57dbc4022b7f04ec079fdca

See more details on using hashes here.

File details

Details for the file pypearl-0.5.1-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pypearl-0.5.1-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 69526e8cc5f91028a8324b6c48d1c4a18fa0102be07be893badefa60f94bfdb3
MD5 3a0334f17895a44b092479b13c91f045
BLAKE2b-256 15e8366cb964310d3f09495890137f0d7f682d0e511730a0894df2c57492db76

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page