Skip to main content

A collection of data analysis programs used by the Atmospheric Chemistry and Global Change (ACGC) research group

Project description

ACGC

Overview

The acgc package is a collection of data analysis functions used by the Atmospheric Chemistry and Global Change Research Group (ACGC). Programs are written in Python 3.

Installation

For conda users:

conda install -c conda-forge acgc

For pip users:

pip install acgc

For developers

If you plan to modify or improve the acgc package, an editable installation may be better: pip install -e git+https://github.com/cdholmes/acgc-python Your local files can then be managed with git, including keeping up-to-date with the github source repository (e.g. git pull).

Classic version

The old version of this package (before conversion to an importable python module) is accessible as the "classic" branch of this repository on github.

Documentation

See https://cdholmes.github.io/acgc-python

Demos

The demo folder contains examples of how to accomplish common data analysis and visualization tasks, including using many of the functions within the acgc library.

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

acgc-0.4.tar.gz (10.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

acgc-0.4-py3-none-any.whl (3.4 MB view details)

Uploaded Python 3

File details

Details for the file acgc-0.4.tar.gz.

File metadata

  • Download URL: acgc-0.4.tar.gz
  • Upload date:
  • Size: 10.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for acgc-0.4.tar.gz
Algorithm Hash digest
SHA256 b9aa863a7b8a76a1bd3602d13299fea0ecbb4f2a2855e3c88334b89015cf5c26
MD5 4757bc875867c17dc56f301fd713b79b
BLAKE2b-256 016f0ce9e10384dc5543350dfdc4e9f4eca9678e89ac1be3e452ae12ca2a20eb

See more details on using hashes here.

Provenance

The following attestation bundles were made for acgc-0.4.tar.gz:

Publisher: publish-to-pypi.yml on cdholmes/acgc-python

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

File details

Details for the file acgc-0.4-py3-none-any.whl.

File metadata

  • Download URL: acgc-0.4-py3-none-any.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for acgc-0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 c99a98cf325a1aa1583f6bcbaea1f89ac17086032fe0fe1f2e40768cee3620d4
MD5 d091bd365a8f2f2f61042e528feb7e98
BLAKE2b-256 4354a4703ac56037c2925ee3a988066174ec5c657ed55c1610a77e95b2842de5

See more details on using hashes here.

Provenance

The following attestation bundles were made for acgc-0.4-py3-none-any.whl:

Publisher: publish-to-pypi.yml on cdholmes/acgc-python

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 Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page