Skip to main content

Jumping Rivers: Python Best Practices for Machine Learning

Project description

The author of this package has not provided a project description

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

jrpymlbestprac-0.1.4.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

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

jrpymlbestprac-0.1.4-py3-none-any.whl (18.0 kB view details)

Uploaded Python 3

File details

Details for the file jrpymlbestprac-0.1.4.tar.gz.

File metadata

  • Download URL: jrpymlbestprac-0.1.4.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.3 Linux/6.17.0-1007-aws

File hashes

Hashes for jrpymlbestprac-0.1.4.tar.gz
Algorithm Hash digest
SHA256 aaa2b635f6ca57899814039bbd7d54ff29dd72be1771baaeba0be6c98716c66f
MD5 919dd00b645e06a23cea0fa96ed7af6b
BLAKE2b-256 6bdd1d555d3a17dea69035d0a64ca03d95fd22e2184d9347ddfb66d732f53139

See more details on using hashes here.

File details

Details for the file jrpymlbestprac-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: jrpymlbestprac-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 18.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.3 Linux/6.17.0-1007-aws

File hashes

Hashes for jrpymlbestprac-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 61de4262130683dfc084345b2465bda9ba1fbada41ae2d12b6bc31ed9ebbf6f1
MD5 95f56713a30312bbe7ef1e61c07c2b88
BLAKE2b-256 175fd29f0a414d28e80191ab06f6128db92eac354cb8f032086a0df6884ce4eb

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