Skip to main content

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 .

Metadata

Release files for gegca 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gegca 0.1.3
File Size Uploaded
gegca-0.1.3.tar.gz 5.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gegca 0.1.3
File Interpreter ABI Platform
gegca-0.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 9.9 kB

Release files / gegca-0.1.3.tar.gz

Download URL gegca-0.1.3.tar.gz
Size 5.0 kB
Tags Source
SHA-256 checksum
How to use checksums
6b8f9e3d384c3b5b30d3601f5501f500883dd3cc8138c1febbcb1d949d9c0f3d
BLAKE2b-256 checksum
How to use checksums
2b0b41c0e7636dc23a3c1ef89c1db515d14905881a663fbd75451327569ca223
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1023-azure

Release files / gegca-0.1.3-py3-none-any.whl

Download URL gegca-0.1.3-py3-none-any.whl
Size 4.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
27f7737fabeb3bf7244b00fe8581e4f4413360a0414b131f0da2598f9413aab2
BLAKE2b-256 checksum
How to use checksums
6f9e980df8b13ff133552688008dbc8ded8f9b46a8399e793291b1cb91549cd3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.8.3 CPython/3.10.12 Linux/6.5.0-1023-azure

Release history Release notifications | RSS feed

This release

0.1.3 This release

2 release files

0.1.2

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page