Skip to main content

No project description provided

Project description

TensorWaves

Documentation build status Binder Google Colab GPLv3+ license GitPod
PyPI package Supported Python versions Checked with mypy CI status Test coverage Codacy Badge
pre-commit Prettier Code style: black Imports: isort

TensorWaves is a fitter package that optimizes mathematical models to data samples. The models can be any mathematical expression that is then converted to any computational backend. In addition, TensorWaves provides functionality to generate toy Monte Carlo data samples.

All documentation can be found on tensorwaves.rtfd.io.

For an overview of upcoming releases and planned functionality, see here.

Contribute

See CONTRIBUTING.md

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

tensorwaves-0.2.3.tar.gz (73.6 kB view details)

Uploaded Source

Built Distribution

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

tensorwaves-0.2.3-py3-none-any.whl (21.5 kB view details)

Uploaded Python 3

File details

Details for the file tensorwaves-0.2.3.tar.gz.

File metadata

  • Download URL: tensorwaves-0.2.3.tar.gz
  • Upload date:
  • Size: 73.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.8

File hashes

Hashes for tensorwaves-0.2.3.tar.gz
Algorithm Hash digest
SHA256 c00f880134dd8298b0b2e8b800d0672da917b09d3fa51ba63b060b5a84acf613
MD5 da2cb9005febdccf71ca80fe98c5ab6d
BLAKE2b-256 cb909c35e8eb59be0dd2a4a052fcc3d5ce700f11fe8d9cc24374ff5120fcba7a

See more details on using hashes here.

File details

Details for the file tensorwaves-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: tensorwaves-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 21.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.8

File hashes

Hashes for tensorwaves-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 fccad14e785ba48dd8760444841b6fd4a82bf59b88d1e752bede14cee3f24c90
MD5 08a2bb015b6131b43f6a54f7e57b5af7
BLAKE2b-256 61c086d36258a0c6ddf144c70ca1e973770eb9746761681498ab2992a493b039

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