Skip to main content

Global-mean climate assessment of global emissions scenarios.

Project description

Global Emissions Global Climate Assessment

Global-mean climate assessment of global emissions scenarios.

CI Coverage Docs

PyPI : PyPI PyPI: Supported Python versions PyPI install

Other info : Licence Last Commit Contributors

Full documentation can be found at: gegca.readthedocs.io. We recommend reading the docs there because the internal documentation links don't render correctly on GitHub's viewer.

Installation

Global Emissions Global Climate Assessment can be installed with pip, mamba or conda:

pip install gegca
mamba install -c conda-forge gegca
conda install -c conda-forge gegca

Additional dependencies can be installed using

# To add plotting dependencies
pip install gegca[plots]
# To add notebook dependencies
pip install gegca[notebooks]

# If you are installing with conda, we recommend
# installing the extras by hand because there is no stable
# solution yet (issue here: https://github.com/conda/conda/issues/7502)

For developers

For development, we rely on poetry for all our dependency management. To get started, you will need to make sure that poetry is installed (instructions here, we found that pipx and pip worked better to install on a Mac).

For all of work, we use our Makefile. You can read the instructions out and run the commands by hand if you wish, but we generally discourage this because it can be error prone. In order to create your environment, run make virtual-environment.

If there are any issues, the messages from the Makefile should guide you through. If not, please raise an issue in the issue tracker.

For the rest of our developer docs, please see .

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

gegca-0.1.2.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

gegca-0.1.2-py3-none-any.whl (3.4 kB view details)

Uploaded Python 3

File details

Details for the file gegca-0.1.2.tar.gz.

File metadata

  • Download URL: gegca-0.1.2.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1022-azure

File hashes

Hashes for gegca-0.1.2.tar.gz
Algorithm Hash digest
SHA256 5d2564665d233ffe94b6409e6aa732feb587b7fdb56e57395729b3b74d33f589
MD5 1e6cb5f30a364ac6950b8befd3c937fa
BLAKE2b-256 6681f82c9af6f1b23cd8b8b619c12e81cb237338ff8f2fafc17ae708a7c5230e

See more details on using hashes here.

File details

Details for the file gegca-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: gegca-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 3.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1022-azure

File hashes

Hashes for gegca-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 eb2664faeb2ca75e8833695327b647cc6c654196e0a19e0c5a81d610d8ffe887
MD5 5d252e51733fa587d5f162423f958e03
BLAKE2b-256 cacda7fefcdd6f11f1613db71bf97ee57b1ceafcaed73a8de330ca1498250863

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