Library to work with trajectories.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mathause from gravatar.com mathause Avatar for michaelsprenger from gravatar.com michaelsprenger Avatar for npiaget from gravatar.com npiaget

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+) (GPL-3.0+)
  • Author: Nicolas Piaget
  • Tags data, science, meteorology, climate trajectories
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4
Classifiers

Project description

Documentation Status pipelines

Lagranto - A Library to work with trajectories.

A recent build of the documentation is available at https://lagranto.readthedocs.io/en/latest/

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mathause from gravatar.com mathause Avatar for michaelsprenger from gravatar.com michaelsprenger Avatar for npiaget from gravatar.com npiaget

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+) (GPL-3.0+)
  • Author: Nicolas Piaget
  • Tags data, science, meteorology, climate trajectories
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4
Classifiers

Release history Release notifications | RSS feed

0.3.1

0.1.7

This version

0.1.6

0.1.5

0.1.4

0.1.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Lagranto-0.1.6.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

Lagranto-0.1.6-py2.py3-none-any.whl (19.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file Lagranto-0.1.6.tar.gz.

File metadata

  • Download URL: Lagranto-0.1.6.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for Lagranto-0.1.6.tar.gz
Algorithm Hash digest
SHA256 681d0c3fc88af679e2b1b3143c37d1cd765b0d2c0a6e1caf525fe4af98a41b7f
MD5 3faa499b4250d34f86cfbb52970ef67b
BLAKE2b-256 365256d5f55f9fd2f94ecca0f7a21fa6b4cfa39d68cc7bd4abaa559df8a65a85

See more details on using hashes here.

File details

Details for the file Lagranto-0.1.6-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for Lagranto-0.1.6-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 440b6973ecf024d2b221692518cc416cf10985938231ee0f22a22486a6fc38ca
MD5 647ee6f96e5ae89d963a56d1d5877e7f
BLAKE2b-256 445ce4ac4ae66a78143a0a5359fe6238964f0653f2ea7a7cd43626f2bb62b83a

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