Skip to main content

DAG tools to process numerical topography and landscape evolution models

Project description

DAGGER

DAG tools to process numerical topography and landscape evolution models

Features

  • TODO

References

TODO add and format the references

Credits

Main developer: Boris Gailleton (boris.gailleton@univ-rennes.fr)

Project partly funded byt projects within the SUBITOP ITN, University of Edinburgh, GFZ Postdam, ERC Feasible, Université de Rennes

This package formatting was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Some I/O operations are using libnpy (MIT), a header-only c++ library to write/load simple numpy arrays.

History

0.0.3 (20/07/2023)

  • Fixing compilation for conda-forge on MacOS and Windows

  • Adding a quick topo function as quick test

0 (2023-07-20)

  • First release on PyPI.

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

daggerpy-0.0.3.tar.gz (215.9 kB view details)

Uploaded Source

File details

Details for the file daggerpy-0.0.3.tar.gz.

File metadata

  • Download URL: daggerpy-0.0.3.tar.gz
  • Upload date:
  • Size: 215.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for daggerpy-0.0.3.tar.gz
Algorithm Hash digest
SHA256 c264c418a784aad4419a7510eeae549626604b86ed3623f983e7cc8973da2421
MD5 1d9e67fcbe8c86ac76fe2f6e79f4f2ac
BLAKE2b-256 6f7f8a520def2fd89f1ea28d80eae9202e160b80e6be140cf0f64a6657652a58

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