Skip to main content

Estimate Cn2 from Speckle patterns

Project description

A Python package that uses machine learning to predict turbolence profiles from static patterns

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

speckcn2-0.0.28.tar.gz (18.7 kB view details)

Uploaded Source

Built Distribution

speckcn2-0.0.28-py3-none-any.whl (20.9 kB view details)

Uploaded Python 3

File details

Details for the file speckcn2-0.0.28.tar.gz.

File metadata

  • Download URL: speckcn2-0.0.28.tar.gz
  • Upload date:
  • Size: 18.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for speckcn2-0.0.28.tar.gz
Algorithm Hash digest
SHA256 f2d56cbc23f9232b76627f301f14147519b806f42b37f20baa74ac1494be8988
MD5 657b89d3166da58ad81d0aad76de50e8
BLAKE2b-256 000655fb59e4b9db3858328fd43bcf70cbf0bf1dffa882e535fa4266b4242bd7

See more details on using hashes here.

File details

Details for the file speckcn2-0.0.28-py3-none-any.whl.

File metadata

  • Download URL: speckcn2-0.0.28-py3-none-any.whl
  • Upload date:
  • Size: 20.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for speckcn2-0.0.28-py3-none-any.whl
Algorithm Hash digest
SHA256 00c4a9fb816254398e9de1d5500715eea6c9de584cf5c2955980407f527c2daf
MD5 0a51af0e36c1a3f8cf1877a1d6ea780d
BLAKE2b-256 9b2cf8507af4023afc0f91a2e42ba67772b5a54ea4506601b549c92c4ffaced7

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