Skip to main content

Python → Wolfram Language bridge: drop-in compat for NumPy/SciPy/pandas/SymPy/PyTorch/sklearn/Matplotlib + Jupyter integration

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

py2wl-0.6.5.tar.gz (121.4 kB view details)

Uploaded Source

Built Distribution

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

py2wl-0.6.5-py3-none-any.whl (110.6 kB view details)

Uploaded Python 3

File details

Details for the file py2wl-0.6.5.tar.gz.

File metadata

  • Download URL: py2wl-0.6.5.tar.gz
  • Upload date:
  • Size: 121.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for py2wl-0.6.5.tar.gz
Algorithm Hash digest
SHA256 b8dbe191c8e4e82a6ebbc3da95022793d392fcdc73c0e85e51a946b830b33866
MD5 c51a08deba63389a62835ad61493f668
BLAKE2b-256 8534d931f51eef565b4b4774cfd494a4b4e6dd16d136544d50e3140731bf197c

See more details on using hashes here.

File details

Details for the file py2wl-0.6.5-py3-none-any.whl.

File metadata

  • Download URL: py2wl-0.6.5-py3-none-any.whl
  • Upload date:
  • Size: 110.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for py2wl-0.6.5-py3-none-any.whl
Algorithm Hash digest
SHA256 81f0fc654875903ee4ec4be5d750b143b684ccd9436b2a901e5eef9b49c7f281
MD5 1dafd179f490d6de9eb2cd75bef8912c
BLAKE2b-256 d2473a36565b236af26f4ed6c68a830fa43f82311a727944a26effaf61276e57

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