Skip to main content

Harmonising Raman Spectroscopy

Project description

ramanchada2

ramanchada2 is meant to fill the gap between the theoretical Raman analysis and the experimental Raman spectroscopy by providing means to compare data of different origin.

For more information, see:


🇪🇺 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 952921.

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

ramanchada2-1.3.0.tar.gz (5.9 MB view details)

Uploaded Source

Built Distribution

ramanchada2-1.3.0-py3-none-any.whl (6.1 MB view details)

Uploaded Python 3

File details

Details for the file ramanchada2-1.3.0.tar.gz.

File metadata

  • Download URL: ramanchada2-1.3.0.tar.gz
  • Upload date:
  • Size: 5.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for ramanchada2-1.3.0.tar.gz
Algorithm Hash digest
SHA256 fd38dbda803b828a6ec1746d4858504db812c45ea5959f3ca4e39c958e414c2c
MD5 ff706f627ce660778b4d06feb002c59b
BLAKE2b-256 1e48892c167e893f5817a3d893051cb43456cba5a138e2f5753046fd4d5f8877

See more details on using hashes here.

Provenance

The following attestation bundles were made for ramanchada2-1.3.0.tar.gz:

Publisher: publish.yml on h2020charisma/ramanchada2

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ramanchada2-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: ramanchada2-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for ramanchada2-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 064797b30e5c7c8e1b67483792f454e9471134aa086a06c247b4c277f09302ab
MD5 89944d461fea4afa1b761f3a4814bc4b
BLAKE2b-256 5d6e4bd4b1b95ec5e2a5842e9d67dabd1ea6ac47627c823d5272bdccaefb2042

See more details on using hashes here.

Provenance

The following attestation bundles were made for ramanchada2-1.3.0-py3-none-any.whl:

Publisher: publish.yml on h2020charisma/ramanchada2

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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